2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
6 % RRRR EEEEE SSSSS IIIII ZZZZZ EEEEE %
8 % RRRR EEE SSS I ZZZ EEE %
10 % R R EEEEE SSSSS IIIII ZZZZZ EEEEE %
13 % MagickCore Image Resize Methods %
20 % Copyright 1999-2010 ImageMagick Studio LLC, a non-profit organization %
21 % dedicated to making software imaging solutions freely available. %
23 % You may not use this file except in compliance with the License. You may %
24 % obtain a copy of the License at %
26 % http://www.imagemagick.org/script/license.php %
28 % Unless required by applicable law or agreed to in writing, software %
29 % distributed under the License is distributed on an "AS IS" BASIS, %
30 % WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
31 % See the License for the specific language governing permissions and %
32 % limitations under the License. %
34 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
42 #include "magick/studio.h"
43 #include "magick/artifact.h"
44 #include "magick/blob.h"
45 #include "magick/cache.h"
46 #include "magick/cache-view.h"
47 #include "magick/color.h"
48 #include "magick/color-private.h"
49 #include "magick/draw.h"
50 #include "magick/exception.h"
51 #include "magick/exception-private.h"
52 #include "magick/gem.h"
53 #include "magick/image.h"
54 #include "magick/image-private.h"
55 #include "magick/list.h"
56 #include "magick/memory_.h"
57 #include "magick/magick.h"
58 #include "magick/pixel-private.h"
59 #include "magick/property.h"
60 #include "magick/monitor.h"
61 #include "magick/monitor-private.h"
62 #include "magick/pixel.h"
63 #include "magick/option.h"
64 #include "magick/resample.h"
65 #include "magick/resize.h"
66 #include "magick/resize-private.h"
67 #include "magick/string_.h"
68 #include "magick/string-private.h"
69 #include "magick/thread-private.h"
70 #include "magick/utility.h"
71 #include "magick/version.h"
72 #if defined(MAGICKCORE_LQR_DELEGATE)
82 (*filter)(const MagickRealType,const ResizeFilter *),
83 (*window)(const MagickRealType,const ResizeFilter *),
84 support, /* filter region of support - the filter support limit */
85 window_support, /* window support, usally equal to support (expert only) */
86 scale, /* dimension scaling to fit window support (usally 1.0) */
87 blur, /* x-scale (blur-sharpen) */
88 coeff[8]; /* cubic coefficents for smooth Cubic filters */
95 Forward declaractions.
99 BesselOrderOne(MagickRealType),
100 Sinc(const MagickRealType, const ResizeFilter *),
101 SincFast(const MagickRealType, const ResizeFilter *);
104 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
108 + F i l t e r F u n c t i o n s %
112 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
114 % These are the various filter and windowing functions that are provided.
116 % They are internal to this module only. See AcquireResizeFilterInfo() for
117 % details of the access to these functions, via the GetResizeFilterSupport()
118 % and GetResizeFilterWeight() API interface.
120 % The individual filter functions have this format...
122 % static MagickRealtype *FilterName(const MagickRealType x,
123 % const MagickRealType support)
125 % A description of each parameter follows:
127 % o x: the distance from the sampling point generally in the range of 0 to
128 % support. The GetResizeFilterWeight() ensures this a positive value.
130 % o resize_filter: current filter information. This allows function to
131 % access support, and possibly other pre-calculated information defining
136 #define MagickPIL ((MagickRealType) 3.14159265358979323846264338327950288420L)
138 static MagickRealType Jinc(const MagickRealType x,
139 const ResizeFilter *magick_unused(resize_filter))
142 See Pratt "Digital Image Processing" p.97 for Jinc/Bessel functions.
143 http://mathworld.wolfram.com/JincFunction.html and page 11 of
144 http://www.ph.ed.ac.uk/%7ewjh/teaching/mo/slides/lens/lens.pdf
146 The original "zoom" program by Paul Heckbert called this "Bessel".
147 But really it is more accurately named "Jinc".
150 return(0.5*MagickPIL);
151 return(BesselOrderOne(MagickPIL*x)/x);
154 static MagickRealType Blackman(const MagickRealType x,
155 const ResizeFilter *magick_unused(resize_filter))
158 Blackman: 2nd order cosine windowing function:
159 0.42 + 0.5 cos(pi x) + 0.08 cos(2pi x)
160 Refactored by Chantal Racette and Nicolas Robidoux to one trig
163 const MagickRealType cospix = cos((double) (MagickPIL*x));
164 return(0.34+cospix*(0.5+cospix*0.16));
167 static MagickRealType Bohman(const MagickRealType x,
168 const ResizeFilter *magick_unused(resize_filter))
171 Bohman: 2rd Order cosine windowing function:
172 (1-x) cos(pi x) + sin(pi x) / pi.
173 Refactored by Nicolas Robidoux to one trig call, one sqrt call,
174 and 7 flops, taking advantage of the fact that the support of
175 Bohman is 1 (so that we know that sin(pi x) >= 0).
177 const double cospix = cos((double) (MagickPIL*x));
178 const double sinpix = sqrt(1.0-cospix*cospix);
179 return((1.0-x)*cospix+(1.0/MagickPIL)*sinpix);
182 static MagickRealType Box(const MagickRealType magick_unused(x),
183 const ResizeFilter *magick_unused(resize_filter))
186 A Box filter is a equal weighting function (all weights equal).
187 DO NOT LIMIT results by support or resize point sampling will work
188 as it requests points beyond its normal 0.0 support size.
193 static MagickRealType CubicBC(const MagickRealType x,
194 const ResizeFilter *resize_filter)
197 Cubic Filters using B,C determined values:
198 Mitchell-Netravali B=1/3 C=1/3 Qualitively ideal Cubic Filter
199 Catmull-Rom B= 0 C=1/2 Cublic Interpolation Function
200 Cubic B-Spline B= 1 C= 0 Spline Approximation of Gaussian
201 Hermite B= 0 C= 0 Quadratic Spline (support = 1)
203 See paper by Mitchell and Netravali, Reconstruction Filters in Computer
204 Graphics Computer Graphics, Volume 22, Number 4, August 1988
205 http://www.cs.utexas.edu/users/fussell/courses/cs384g/lectures/mitchell/
208 Coefficents are determined from B,C values:
211 P2 = (-18 +12*B + 6*C )/6
212 P3 = ( 12 - 9*B - 6*C )/6
214 Q1 = ( -12*B -48*C )/6
216 Q3 = ( - 1*B - 6*C )/6
218 which are used to define the filter:
220 P0 + P1*x + P2*x^2 + P3*x^3 0 <= x < 1
221 Q0 + Q1*x + Q2*x^2 + Q3*x^3 1 <= x <= 2
223 which ensures function is continuous in value and derivative (slope).
226 return(resize_filter->coeff[0]+x*(resize_filter->coeff[1]+x*
227 (resize_filter->coeff[2]+x*resize_filter->coeff[3])));
229 return(resize_filter->coeff[4]+x*(resize_filter->coeff[5]+x*
230 (resize_filter->coeff[6]+x*resize_filter->coeff[7])));
234 static MagickRealType Gaussian(const MagickRealType x,
235 const ResizeFilter *resize_filter)
238 Gaussian with a fixed sigma = 1/2
241 exp( -(x^2)/((2.0*sigma^2) ) / sqrt(2*PI*sigma^2)))
242 The constants are pre-calculated...
243 exp( -coeff[0]*(x^2)) ) * coeff[1]
244 However the multiplier coefficent is not needed and not used.
246 This separates the gaussian 'sigma' value from the 'blur/support' settings
247 allows for its use in special 'small sigma' gaussians, without the filter
248 'missing' pixels when blur and thus support becomes too small.
250 return(exp((double)(-resize_filter->coeff[0]*x*x))); }
252 static MagickRealType Hanning(const MagickRealType x,
253 const ResizeFilter *magick_unused(resize_filter))
256 Cosine window function:
259 const MagickRealType cospix = cos((double) (MagickPIL*x));
260 return(0.5+0.5*cospix);
263 static MagickRealType Hamming(const MagickRealType x,
264 const ResizeFilter *magick_unused(resize_filter))
267 Offset cosine window function:
270 const MagickRealType cospix = cos((double) (MagickPIL*x));
271 return(0.54+0.46*cospix);
274 static MagickRealType Kaiser(const MagickRealType x,
275 const ResizeFilter *magick_unused(resize_filter))
278 #define I0A (1.0/I0(Alpha))
281 Kaiser Windowing Function (bessel windowing): Alpha is a free
282 value from 5 to 8 (currently hardcoded to 6.5).
283 Future: make alpha the IOA pre-calculation, an 'expert' setting.
285 return(I0A*I0(Alpha*sqrt((double) (1.0-x*x))));
288 static MagickRealType Lagrange(const MagickRealType x,
289 const ResizeFilter *resize_filter)
302 Lagrange piecewise polynomial fit of sinc: N is the 'order' of the
303 lagrange function and depends on the overall support window size
304 of the filter. That is: for a support of 2, it gives a lagrange-4
305 (piecewise cubic function).
307 "n" identifies the piece of the piecewise polynomial.
309 See Survey: Interpolation Methods, IEEE Transactions on Medical
310 Imaging, Vol 18, No 11, November 1999, p1049-1075, -- Equation 27
313 if (x > resize_filter->support)
315 order=(ssize_t) (2.0*resize_filter->window_support); /* number of pieces */
316 /*n=(ssize_t)((1.0*order)/2.0+x); -- which piece does x belong to */
317 n = (ssize_t)(resize_filter->window_support + x);
319 for (i=0; i < order; i++)
321 value*=(n-i-x)/(n-i);
325 static MagickRealType Quadratic(const MagickRealType x,
326 const ResizeFilter *magick_unused(resize_filter))
329 2rd order (quadratic) B-Spline approximation of Gaussian.
334 return(0.5*(x-1.5)*(x-1.5));
338 static MagickRealType Sinc(const MagickRealType x,
339 const ResizeFilter *magick_unused(resize_filter))
342 Scaled sinc(x) function using a trig call:
343 sinc(x) == sin(pi x)/(pi x).
347 const MagickRealType pix = (MagickRealType) (MagickPIL*x);
348 return(sin((double) pix)/pix);
350 return((MagickRealType) 1.0);
353 static MagickRealType SincFast(const MagickRealType x,
354 const ResizeFilter *magick_unused(resize_filter))
357 Approximations of the sinc function sin(pi x)/(pi x) over the
358 interval [-4,4] constructed by Nicolas Robidoux and Chantal
359 Racette with funding from the Natural Sciences and Engineering
360 Research Council of Canada.
362 Although the approximations are polynomials (for low order of
363 approximation) and quotients of polynomials (for higher order of
364 approximation) and consequently are similar in form to Taylor
365 polynomials/Pade approximants, the approximations are computed
366 with a completely different technique.
368 Summary: These approximations are "the best" in terms of bang
369 (accuracy) for the buck (flops). More specifically: Among the
370 polynomial quotients that can be computed using a fixed number of
371 flops (with a given "+ - * / budget"), the chosen polynomial
372 quotient is the one closest to the approximated function with
373 respect to maximum absolute relative error over the given
376 The Remez algorithm, as implemented in the boost library's minimax
377 package, is the key to the construction:
378 http://www.boost.org/doc/libs/1_36_0/libs/math/doc/...
379 ...sf_and_dist/html/math_toolkit/backgrounders/remez.html
382 If outside of the interval of approximation, use the standard trig
387 const MagickRealType pix = (MagickRealType) (MagickPIL*x);
388 return(sin((double) pix)/pix);
392 The approximations only depend on x^2 (sinc is an even
395 const MagickRealType xx = x*x;
396 #if MAGICKCORE_QUANTUM_DEPTH <= 8
398 Maximum absolute relative error 6.3e-6 < 1/2^17.
400 const MagickRealType c0 = 0.173610016489197553621906385078711564924e-2L;
401 const MagickRealType c1 = -0.384186115075660162081071290162149315834e-3L;
402 const MagickRealType c2 = 0.393684603287860108352720146121813443561e-4L;
403 const MagickRealType c3 = -0.248947210682259168029030370205389323899e-5L;
404 const MagickRealType c4 = 0.107791837839662283066379987646635416692e-6L;
405 const MagickRealType c5 = -0.324874073895735800961260474028013982211e-8L;
406 const MagickRealType c6 = 0.628155216606695311524920882748052490116e-10L;
407 const MagickRealType c7 = -0.586110644039348333520104379959307242711e-12L;
408 const MagickRealType p =
409 c0+xx*(c1+xx*(c2+xx*(c3+xx*(c4+xx*(c5+xx*(c6+xx*c7))))));
410 return((xx-1.0)*(xx-4.0)*(xx-9.0)*(xx-16.0)*p);
411 #elif MAGICKCORE_QUANTUM_DEPTH <= 16
413 Max. abs. rel. error 2.2e-8 < 1/2^25.
415 const MagickRealType c0 = 0.173611107357320220183368594093166520811e-2L;
416 const MagickRealType c1 = -0.384240921114946632192116762889211361285e-3L;
417 const MagickRealType c2 = 0.394201182359318128221229891724947048771e-4L;
418 const MagickRealType c3 = -0.250963301609117217660068889165550534856e-5L;
419 const MagickRealType c4 = 0.111902032818095784414237782071368805120e-6L;
420 const MagickRealType c5 = -0.372895101408779549368465614321137048875e-8L;
421 const MagickRealType c6 = 0.957694196677572570319816780188718518330e-10L;
422 const MagickRealType c7 = -0.187208577776590710853865174371617338991e-11L;
423 const MagickRealType c8 = 0.253524321426864752676094495396308636823e-13L;
424 const MagickRealType c9 = -0.177084805010701112639035485248501049364e-15L;
425 const MagickRealType p =
426 c0+xx*(c1+xx*(c2+xx*(c3+xx*(c4+xx*(c5+xx*(c6+xx*(c7+xx*(c8+xx*c9))))))));
427 return((xx-1.0)*(xx-4.0)*(xx-9.0)*(xx-16.0)*p);
430 Max. abs. rel. error 1.2e-12 < 1/2^39.
432 const MagickRealType c0 = 0.173611111110910715186413700076827593074e-2L;
433 const MagickRealType c1 = -0.289105544717893415815859968653611245425e-3L;
434 const MagickRealType c2 = 0.206952161241815727624413291940849294025e-4L;
435 const MagickRealType c3 = -0.834446180169727178193268528095341741698e-6L;
436 const MagickRealType c4 = 0.207010104171026718629622453275917944941e-7L;
437 const MagickRealType c5 = -0.319724784938507108101517564300855542655e-9L;
438 const MagickRealType c6 = 0.288101675249103266147006509214934493930e-11L;
439 const MagickRealType c7 = -0.118218971804934245819960233886876537953e-13L;
440 const MagickRealType p =
441 c0+xx*(c1+xx*(c2+xx*(c3+xx*(c4+xx*(c5+xx*(c6+xx*c7))))));
442 const MagickRealType d0 = 1.0L;
443 const MagickRealType d1 = 0.547981619622284827495856984100563583948e-1L;
444 const MagickRealType d2 = 0.134226268835357312626304688047086921806e-2L;
445 const MagickRealType d3 = 0.178994697503371051002463656833597608689e-4L;
446 const MagickRealType d4 = 0.114633394140438168641246022557689759090e-6L;
447 const MagickRealType q = d0+xx*(d1+xx*(d2+xx*(d3+xx*d4)));
448 return((xx-1.0)*(xx-4.0)*(xx-9.0)*(xx-16.0)/q*p);
453 static MagickRealType Triangle(const MagickRealType x,
454 const ResizeFilter *magick_unused(resize_filter))
457 1st order (linear) B-Spline, bilinear interpolation, Tent 1D
458 filter, or a Bartlett 2D Cone filter.
465 static MagickRealType Welsh(const MagickRealType x,
466 const ResizeFilter *magick_unused(resize_filter))
469 Welsh parabolic windowing filter.
477 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
481 + A c q u i r e R e s i z e F i l t e r %
485 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
487 % AcquireResizeFilter() allocates the ResizeFilter structure. Choose
488 % from these filters:
490 % FIR (Finite impulse Response) Filters
491 % Box Triangle Quadratic
492 % Cubic Hermite Catrom
495 % IIR (Infinite impulse Response) Filters
496 % Gaussian Sinc Jinc (Bessel)
498 % Windowed Sinc/Jinc Filters
499 % Blackman Hanning Hamming
502 % Special purpose Filters
503 % SincFast Lanczos2D Robidoux
505 % The users "-filter" selection is used to lookup the default 'expert'
506 % settings for that filter from a internal table. However any provided
507 % 'expert' settings (see below) may override this selection.
509 % FIR filters are used as is, and are limited to that filters support
510 % window (unless over-ridden). 'Gaussian' while classed as an IIR
511 % filter, is also simply clipped by its support size (currently 1.5
512 % or approximatally 3*sigma as recommended by many references)
514 % The selection is typically either a windowed Sinc, or interpolated
515 % filter, for use by functions such as ResizeImage(). However if a
516 % 'cylindrical' filter flag is requested, any default Sinc weighting
517 % and windowing functions will be promoted to cylindrical Jinc form of
520 % Directly requesting 'Sinc' or 'Jinc' will force the use of that
521 % filter function without any windowing. This is not recommended,
522 % except by image processing experts or in expert options. Selecting a
523 % window filtering version of these functions is better.
525 % Lanczos is a special case of a Sinc-windowed Sinc, (or Jinc-Jinc for
526 % the cylindrical case) but defaulting to 3-lobe support, rather that
527 % the default 4 lobe support of the other windowed sinc/jinc filters.
529 % Two forms of the 'Sinc' function are available: Sinc and SincFast.
530 % Sinc is computed using the traditional sin(pi*x)/(pi*x); it is
531 % selected if the user specifically specifies the use of a Sinc
532 % filter. SincFast uses highly accurate (and fast) polynomial (low Q)
533 % and rational (high Q) approximations, and will be used by default in
536 % The Lanczos2D and Robidoux filters are tuned for cylindrical
537 % (radial) EWA (Elliptical Weighted Average) distortion. Lanczos2D
538 % is a 2 lobe Lanczos-like filter using Jinc (for EWA) or Sinc.
539 % Robidoux used to be a sharpened version of Lanczos2D (with
540 % blur=0.958033808). Now, it is the unique Cubic 'Keys' filter that
541 % exactly preserves images with only vertical or horizontal features
542 % when performing 'no-op" with EWA distortion. It turns out to be
543 % close to both plain Mitchell and "sharpened" Lanczos2D.
545 % Special 'expert' options can be used to override any and all filter
546 % settings. This is not advised unless you have expert knowledge of
547 % the use of resampling filtered techniques. Check on the results of
548 % your selections using the "filter:verbose" setting to make sure you
549 % get the exact filter that you are tring to achieve.
551 % "filter:filter" Select the main function associated with
552 % this filter name, as the weighting function of the filter.
553 % This can be used to set a windowing function as a weighting
554 % function, for special purposes, such as graphing.
556 % If a "filter:window" operation has not been provided, then a 'Box'
557 % windowing function will be set to denote that no windowing function
560 % "filter:window" Select this windowing function for the filter.
561 % While any filter could be used as a windowing function, using the
562 % 'first lobe' of that filter over the whole support window, using a
563 % non-windowing function is not advisible. If no weighting filter
564 % function is specifed a 'SincFast' filter will be used.
566 % "filter:lobes" Number of lobes to use for the Sinc/Jinc filter.
567 % This a simpler method of setting filter support size that will
568 % correctly handle the Sinc/Jinc switch for an operators filtering
569 % requirements. Only integers should be given.
571 % "filter:support" Set the support size for filtering to the size given
572 % This not recommended for Sinc/Jinc windowed filters (lobes should
573 % be used instead). This will override any 'filter:lobes' option.
575 % "filter:win-support" Scale windowing function to this size instead.
576 % This causes the windowing (or self-windowing Lagrange filter) to act
577 % is if the support window it much much larger than what is actually
578 % supplied to the calling operator. The filter however is still
579 % clipped to the real support size given, by the support range suppiled
580 % to the caller. If unset this will equal the normal filter support
583 % "filter:blur" Scale the filter and support window by this amount.
584 % A value >1 will generally result in a more burred image with
585 % more ringing effects, while a value <1 will sharpen the
586 % resulting image with more aliasing and Morie effects.
588 % "filter:sigma" The sigma value to use for the Gaussian filter only.
589 % Defaults to '1/2' for orthogonal and 'sqrt(2)/2' for cylindrical
590 % usage. It effectially provides a alturnative to 'blur' for Gaussians
591 % without it also effecting the final 'practical support' size.
594 % "filter:c" Override the preset B,C values for a Cubic type of filter
595 % If only one of these are given it is assumes to be a 'Keys'
596 % type of filter such that B+2C=1, where Keys 'alpha' value = C
598 % "filter:verbose" Output the exact results of the filter selections
599 % made, as well as plotting data for graphing the resulting filter
600 % over support range (blur adjusted).
602 % Set a true un-windowed Sinc filter with 10 lobes (very slow)
603 % -define filter:filter=Sinc
604 % -define filter:lobes=8
606 % For example force an 8 lobe Lanczos (Sinc or Jinc) filter...
608 % -define filter:lobes=8
610 % The format of the AcquireResizeFilter method is:
612 % ResizeFilter *AcquireResizeFilter(const Image *image,
613 % const FilterTypes filter_type, const MagickBooleanType radial,
614 % ExceptionInfo *exception)
616 % A description of each parameter follows:
618 % o image: the image.
620 % o filter: the filter type, defining a preset filter, window and
621 % support. The artifact settings listed above will override
624 % o blur: blur the filter by this amount, use 1.0 if unknown. Image
625 % artifact "filter:blur" will override this API call usage, including
626 % any internal change (such as for cylindrical usage).
628 % o radial: use a 1D orthogonal filter (Sinc) or 2D cylindrical
629 % (radial) filter (Jinc)
631 % o exception: return any errors or warnings in this structure.
634 MagickExport ResizeFilter *AcquireResizeFilter(const Image *image,
635 const FilterTypes filter,const MagickRealType blur,
636 const MagickBooleanType cylindrical,ExceptionInfo *exception)
650 register ResizeFilter
657 Table Mapping given Filter, into Weighting and Windowing functions.
658 A 'Box' windowing function means its a simble non-windowed filter.
659 An 'SincFast' filter function could be upgraded to a 'Jinc' filter
660 if a "cylindrical", unless a 'Sinc' or 'SincFast' filter was
661 specifically requested.
663 WARNING: The order of this tabel must match the order of the
664 FilterTypes enumeration specified in "resample.h", or the filter
665 names will not match the filter being setup.
667 You can check filter setups with the "filter:verbose" setting.
674 } const mapping[SentinelFilter] =
676 { UndefinedFilter, BoxFilter }, /* Undefined (default to Box) */
677 { PointFilter, BoxFilter }, /* SPECIAL: Nearest neighbour */
678 { BoxFilter, BoxFilter }, /* Box averaging filter */
679 { TriangleFilter, BoxFilter }, /* Linear interpolation filter */
680 { HermiteFilter, BoxFilter }, /* Hermite interpolation filter */
681 { SincFastFilter, HanningFilter }, /* Hanning -- cosine-sinc */
682 { SincFastFilter, HammingFilter }, /* Hamming -- '' variation */
683 { SincFastFilter, BlackmanFilter }, /* Blackman -- 2*cosine-sinc */
684 { GaussianFilter, BoxFilter }, /* Gaussian blur filter */
685 { QuadraticFilter, BoxFilter }, /* Quadratic Gaussian approximation */
686 { CubicFilter, BoxFilter }, /* Cubic B-Spline */
687 { CatromFilter, BoxFilter }, /* Cubic interpolator */
688 { MitchellFilter, BoxFilter }, /* 'Ideal' cubic filter */
689 { LanczosFilter, SincFastFilter }, /* SPECIAL: 3-lobed sinc-sinc */
690 { JincFilter, BoxFilter }, /* Raw 3-lobed Jinc function */
691 { SincFilter, BoxFilter }, /* Raw 4-lobed Sinc function */
692 { SincFastFilter, KaiserFilter }, /* Kaiser -- square root-sinc */
693 { SincFastFilter, WelshFilter }, /* Welsh -- parabolic-sinc */
694 { SincFastFilter, CubicFilter }, /* Parzen -- cubic-sinc */
695 { LagrangeFilter, BoxFilter }, /* Lagrange self-windowing filter */
696 { SincFastFilter, BohmanFilter }, /* Bohman -- 2*cosine-sinc */
697 { SincFastFilter, TriangleFilter }, /* Bartlett -- triangle-sinc */
698 { SincFastFilter, BoxFilter }, /* Raw fast sinc ("Pade"-type) */
699 { Lanczos2DFilter, JincFilter }, /* SPECIAL: 2-lobed jinc-jinc */
700 { Lanczos2DSharpFilter, JincFilter },/* SPECIAL: ditto sharpened */
701 { RobidouxFilter, BoxFilter }, /* SPECIAL: Keys cubic tuned for EWA */
704 Table mapping the filter/window from the above table to an actual
705 function. The default support size for that filter as a weighting
706 function, the range to scale with to use that function as a sinc
707 windowing function, (typ 1.0).
709 Note that the filter_type -> function is 1 to 1 except for Sinc(),
710 SincFast(), and CubicBC() functions, which may have multiple
711 filter to function associations.
713 See "filter:verbose" handling below for the function -> filter
719 (*function)(const MagickRealType, const ResizeFilter*),
720 lobes, /* Default lobes/support size of the weighting filter. */
721 scale, /* Support when used as a windowing function, equal to
722 the scaling needed to match the support of the
723 windowed function. Typically equal to the location of
724 the first crossing. */
725 B,C; /* BC-spline coefficients, ignored if not a CubicBC
727 } const filters[SentinelFilter] =
729 { Box, 0.5, 0.5, 0.0, 0.0 }, /* Undefined (default to Box) */
730 { Box, 0.0, 0.5, 0.0, 0.0 }, /* Point (special handling) */
731 { Box, 0.5, 0.5, 0.0, 0.0 }, /* Box */
732 { Triangle, 1.0, 1.0, 0.0, 0.0 }, /* Triangle */
733 { CubicBC, 1.0, 1.0, 0.0, 0.0 }, /* Hermite (cubic B=C=0) */
734 { Hanning, 1.0, 1.0, 0.0, 0.0 }, /* Hanning, cosine window */
735 { Hamming, 1.0, 1.0, 0.0, 0.0 }, /* Hamming, '' variation */
736 { Blackman, 1.0, 1.0, 0.0, 0.0 }, /* Blackman, 2*cosine window */
737 { Gaussian, 2.0, 1.5, 0.0, 0.0 }, /* Gaussian */
738 { Quadratic, 1.5, 1.5, 0.0, 0.0 }, /* Quadratic gaussian */
739 { CubicBC, 2.0, 2.0, 1.0, 0.0 }, /* Cubic B-Spline (B=1,C=0) */
740 { CubicBC, 2.0, 1.0, 0.0, 0.5 }, /* Catmull-Rom (B=0,C=1/2) */
741 { CubicBC, 2.0, 1.0, 1./3., 1./3. }, /* Mitchell (B=C=1/3) */
742 { SincFast, 3.0, 1.0, 0.0, 0.0 }, /* Lanczos, 3-lobed Sinc-Sinc */
743 { Jinc, 3.0, 1.21967, 0.0, 0.0 }, /* Raw 3-lobed Jinc */
744 { Sinc, 4.0, 1.0, 0.0, 0.0 }, /* Raw 4-lobed Sinc */
745 { Kaiser, 1.0, 1.0, 0.0, 0.0 }, /* Kaiser (square root window) */
746 { Welsh, 1.0, 1.0, 0.0, 0.0 }, /* Welsh (parabolic window) */
747 { CubicBC, 2.0, 2.0, 1.0, 0.0 }, /* Parzen (B-Spline window) */
748 { Lagrange, 2.0, 1.0, 0.0, 0.0 }, /* Lagrange sinc approximation */
749 { Bohman, 1.0, 1.0, 0.0, 0.0 }, /* Bohman, 2*Cosine window */
750 { Triangle, 1.0, 1.0, 0.0, 0.0 }, /* Bartlett (triangle window) */
751 { SincFast, 4.0, 1.0, 0.0, 0.0 }, /* Raw fast sinc ("Pade"-type) */
752 { Jinc, 2.0, 1.2196698912665045, 0.0, 0.0 },
753 /* Lanczos2D (Jinc-Jinc) */
754 { Jinc, 2.0, 1.1684849904329952, 0.0, 0.0 },
755 /* Lanczos2D sharpened with blur=0.958033808 */
756 { CubicBC, 2.0, 1.1685777620836932, 0.37821575509399867,
757 0.31089212245300067 }
758 /* Robidoux: Keys cubic close to Lanczos2D sharpened */
761 The known zero crossings of the Jinc() or more accurately the Jinc(x*PI)
762 function being used as a filter. It is used by the "filter:lobes" and for
763 the 'lobes' number in the above, the for support selection, so users do
764 not have to deal with the highly irrational sizes of the 'lobes' of the
768 http://cose.math.bas.bg/webMathematica/webComputing/BesselZeros.jsp
769 using Jv-function with v=1, then dividing by PI.
771 static MagickRealType
793 Allocate resize filter.
795 assert(image != (const Image *) NULL);
796 assert(image->signature == MagickSignature);
797 if (image->debug != MagickFalse)
798 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
799 assert(UndefinedFilter < filter && filter < SentinelFilter);
800 assert(exception != (ExceptionInfo *) NULL);
801 assert(exception->signature == MagickSignature);
802 resize_filter=(ResizeFilter *) AcquireMagickMemory(sizeof(*resize_filter));
803 if (resize_filter == (ResizeFilter *) NULL)
804 ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
806 Defaults for the requested filter.
808 filter_type=mapping[filter].filter;
809 window_type=mapping[filter].window;
810 resize_filter->blur = blur;
812 /* Cylindrical Filters should use Jinc instead of Sinc */
813 if (cylindrical != MagickFalse)
817 /* Promote 1D Sinc Filter to a 2D Jinc filter. */
818 if ( filter != SincFilter )
819 filter_type=JincFilter;
822 /* Ditto for SincFast variant */
823 if ( filter != SincFastFilter )
824 filter_type=JincFilter;
827 /* Promote Lanczos from a Sinc-Sinc to a Jinc-Jinc. */
828 filter_type=JincFilter;
829 window_type=JincFilter;
831 case Lanczos2DSharpFilter:
832 /* Sharpened by Nicholas Robidoux so as to optimize for
833 * minimal blurring of orthogonal lines
835 resize_filter->blur *= 0.958033808;
838 sigma = (MagickRealType) (MagickSQ2/2.0); /* Cylindrical Gaussian sigma is sqrt(2)/2 */
846 case Lanczos2DFilter:
847 case Lanczos2DSharpFilter:
848 /* Demote to a 2-lobe Sinc-Sinc for orthogonal use. */
849 window_type=SincFastFilter;
855 artifact=GetImageArtifact(image,"filter:filter");
856 if (artifact != (const char *) NULL)
858 option=ParseMagickOption(MagickFilterOptions,MagickFalse,artifact);
859 if ((UndefinedFilter < option) && (option < SentinelFilter))
860 { /* Raw filter request - no window function. */
861 filter_type=(FilterTypes) option;
862 window_type=BoxFilter;
864 if (option == LanczosFilter)
865 { /* Lanczos is not a real filter but a self windowing Sinc/Jinc. */
866 filter_type=cylindrical != MagickFalse ? JincFilter : LanczosFilter;
867 window_type=cylindrical != MagickFalse ? JincFilter : SincFastFilter;
869 /* Filter override with a specific window function. */
870 artifact=GetImageArtifact(image,"filter:window");
871 if (artifact != (const char *) NULL)
873 option=ParseMagickOption(MagickFilterOptions,MagickFalse,artifact);
874 if ((UndefinedFilter < option) && (option < SentinelFilter))
876 if (option != LanczosFilter)
877 window_type=(FilterTypes) option;
879 window_type=cylindrical != MagickFalse ? JincFilter :
886 /* Window specified, but no filter function? Assume Sinc/Jinc. */
887 artifact=GetImageArtifact(image,"filter:window");
888 if (artifact != (const char *) NULL)
890 option=ParseMagickOption(MagickFilterOptions,MagickFalse,
892 if ((UndefinedFilter < option) && (option < SentinelFilter))
894 filter_type=cylindrical != MagickFalse ?
895 JincFilter : SincFastFilter;
896 window_type=(FilterTypes) option;
900 /* Assign the real functions to use for the filters selected. */
901 resize_filter->filter=filters[filter_type].function;
902 resize_filter->support=filters[filter_type].lobes;
903 resize_filter->window=filters[window_type].function;
904 resize_filter->scale=filters[window_type].scale;
905 resize_filter->signature=MagickSignature;
907 /* Filter Modifications for orthogonal/cylindrical usage */
908 if (cylindrical != MagickFalse)
913 /* Support for Cylindrical Box should be sqrt(2)/2 */
914 resize_filter->support=(MagickRealType) MagickSQ1_2;
922 case Lanczos2DFilter:
923 case Lanczos2DSharpFilter:
924 /* Demote to a 2-lobe Lanczos (Sinc-Sinc) for orthogonal use. */
925 resize_filter->filter=SincFast;
932 ** More Expert Option Modifications
935 /* User Sigma Override - no support change */
936 artifact=GetImageArtifact(image,"filter:sigma");
937 if (artifact != (const char *) NULL)
938 sigma=StringToDouble(artifact);
939 /* Define coefficents for Gaussian (assumes no cubic window) */
940 if ( GaussianFilter ) {
941 resize_filter->coeff[0] = 1.0/(2.0*sigma*sigma);
942 resize_filter->coeff[1] = (MagickRealType) (1.0/(Magick2PI*sigma*sigma)); /* unused */
946 artifact=GetImageArtifact(image,"filter:blur");
947 if (artifact != (const char *) NULL)
948 resize_filter->blur=StringToDouble(artifact);
949 if (resize_filter->blur < MagickEpsilon)
950 resize_filter->blur=(MagickRealType) MagickEpsilon;
952 /* Support Overrides */
953 artifact=GetImageArtifact(image,"filter:lobes");
954 if (artifact != (const char *) NULL)
959 lobes=(ssize_t) StringToLong(artifact);
962 resize_filter->support=(MagickRealType) lobes;
964 /* convert Jinc lobes to a real support value */
965 if (resize_filter->filter == Jinc)
967 if (resize_filter->support > 16)
968 resize_filter->support=jinc_zeros[15]; /* largest entry in table */
970 resize_filter->support = jinc_zeros[((long)resize_filter->support)-1];
972 /* expert override of the support setting */
973 artifact=GetImageArtifact(image,"filter:support");
974 if (artifact != (const char *) NULL)
975 resize_filter->support=fabs(StringToDouble(artifact));
977 Scale windowing function separatally to the support 'clipping'
978 window that calling operator is planning to actually use. (Expert
981 resize_filter->window_support=resize_filter->support; /* default */
982 artifact=GetImageArtifact(image,"filter:win-support");
983 if (artifact != (const char *) NULL)
984 resize_filter->window_support=fabs(StringToDouble(artifact));
986 Adjust window function scaling to the windowing support for
987 weighting function. This avoids a division on every filter call.
989 resize_filter->scale /= resize_filter->window_support;
992 * Set Cubic Spline B,C values, calculate Cubic coefficients.
996 if ((filters[filter_type].function == CubicBC) ||
997 (filters[window_type].function == CubicBC))
999 B=filters[filter_type].B;
1000 C=filters[filter_type].C;
1001 if (filters[window_type].function == CubicBC)
1003 B=filters[window_type].B;
1004 C=filters[window_type].C;
1006 artifact=GetImageArtifact(image,"filter:b");
1007 if (artifact != (const char *) NULL)
1009 B=StringToDouble(artifact);
1010 C=(1.0-B)/2.0; /* Calculate C as if it is a Keys cubic filter. */
1011 artifact=GetImageArtifact(image,"filter:c"); /* user C override */
1012 if (artifact != (const char *) NULL)
1013 C=StringToDouble(artifact);
1017 artifact=GetImageArtifact(image,"filter:c");
1018 if (artifact != (const char *) NULL)
1020 C=StringToDouble(artifact);
1021 B=1.0-2.0*C; /* Calculate B as if it is a Keys cubic filter. */
1024 /* Convert B,C values into Cubic Coefficents. See CubicBC(). */
1025 resize_filter->coeff[0]=(6.0-2.0*B)/6.0;
1026 resize_filter->coeff[1]=0.0;
1027 resize_filter->coeff[2]=(-18.0+12.0*B+6.0*C)/6.0;
1028 resize_filter->coeff[3]=(12.0-9.0*B-6.0*C)/6.0;
1029 resize_filter->coeff[4]=(8.0*B+24.0*C)/6.0;
1030 resize_filter->coeff[5]=(-12.0*B-48.0*C)/6.0;
1031 resize_filter->coeff[6]=(6.0*B+30.0*C)/6.0;
1032 resize_filter->coeff[7]=(-B-6.0*C)/6.0;
1036 Expert Option Request for verbose details of the resulting filter.
1038 #if defined(MAGICKCORE_OPENMP_SUPPORT)
1042 artifact=GetImageArtifact(image,"filter:verbose");
1043 if (artifact != (const char *) NULL)
1050 Set the weighting function properly when the weighting
1051 function may not exactly match the filter of the same name.
1052 EG: a Point filter really uses a Box weighting function
1053 with a different support than is typically used.
1056 if (resize_filter->filter == Box) filter_type=BoxFilter;
1057 if (resize_filter->filter == Sinc) filter_type=SincFilter;
1058 if (resize_filter->filter == SincFast) filter_type=SincFastFilter;
1059 if (resize_filter->filter == Jinc) filter_type=JincFilter;
1060 if (resize_filter->filter == CubicBC) filter_type=CubicFilter;
1062 Report Filter Details.
1064 support=GetResizeFilterSupport(resize_filter); /* practical_support */
1065 (void) fprintf(stdout,"# Resize Filter (for graphing)\n#\n");
1066 (void) fprintf(stdout,"# filter = %s\n",MagickOptionToMnemonic(
1067 MagickFilterOptions,filter_type));
1068 (void) fprintf(stdout,"# window = %s\n",MagickOptionToMnemonic(
1069 MagickFilterOptions, window_type));
1070 (void) fprintf(stdout,"# support = %.*g\n",GetMagickPrecision(),
1071 (double) resize_filter->support);
1072 (void) fprintf(stdout,"# win-support = %.*g\n",GetMagickPrecision(),
1073 (double) resize_filter->window_support);
1074 (void) fprintf(stdout,"# scale_blur = %.*g\n",GetMagickPrecision(),
1075 (double) resize_filter->blur);
1076 if ( filter_type == GaussianFilter )
1077 (void) fprintf(stdout,"# gaussian_sigma = %.*g\n",GetMagickPrecision(),
1079 (void) fprintf(stdout,"# practical_support = %.*g\n",GetMagickPrecision(),
1081 if ( filter_type == CubicFilter || window_type == CubicFilter )
1082 (void) fprintf(stdout,"# B,C = %.*g,%.*g\n",GetMagickPrecision(),
1083 (double) B,GetMagickPrecision(),(double) C);
1084 (void) fprintf(stdout,"\n");
1086 Output values of resulting filter graph -- for graphing
1089 for (x=0.0; x <= support; x+=0.01f)
1090 (void) fprintf(stdout,"%5.2lf\t%.*g\n",x,GetMagickPrecision(),
1091 (double) GetResizeFilterWeight(resize_filter,x));
1092 /* A final value so gnuplot can graph the 'stop' properly. */
1093 (void) fprintf(stdout,"%5.2lf\t%.*g\n",support,GetMagickPrecision(),
1096 /* Output the above once only for each image - remove setting */
1097 (void) DeleteImageArtifact((Image *) image,"filter:verbose");
1098 #if defined(MAGICKCORE_OPENMP_SUPPORT)
1101 return(resize_filter);
1105 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1109 % A d a p t i v e R e s i z e I m a g e %
1113 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1115 % AdaptiveResizeImage() adaptively resize image with pixel resampling.
1117 % The format of the AdaptiveResizeImage method is:
1119 % Image *AdaptiveResizeImage(const Image *image,const size_t columns,
1120 % const size_t rows,ExceptionInfo *exception)
1122 % A description of each parameter follows:
1124 % o image: the image.
1126 % o columns: the number of columns in the resized image.
1128 % o rows: the number of rows in the resized image.
1130 % o exception: return any errors or warnings in this structure.
1133 MagickExport Image *AdaptiveResizeImage(const Image *image,
1134 const size_t columns,const size_t rows,ExceptionInfo *exception)
1136 #define AdaptiveResizeImageTag "Resize/Image"
1160 Adaptively resize image.
1162 assert(image != (const Image *) NULL);
1163 assert(image->signature == MagickSignature);
1164 if (image->debug != MagickFalse)
1165 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1166 assert(exception != (ExceptionInfo *) NULL);
1167 assert(exception->signature == MagickSignature);
1168 if ((columns == 0) || (rows == 0))
1169 return((Image *) NULL);
1170 if ((columns == image->columns) && (rows == image->rows))
1171 return(CloneImage(image,0,0,MagickTrue,exception));
1172 resize_image=CloneImage(image,columns,rows,MagickTrue,exception);
1173 if (resize_image == (Image *) NULL)
1174 return((Image *) NULL);
1175 if (SetImageStorageClass(resize_image,DirectClass) == MagickFalse)
1177 InheritException(exception,&resize_image->exception);
1178 resize_image=DestroyImage(resize_image);
1179 return((Image *) NULL);
1181 GetMagickPixelPacket(image,&pixel);
1182 resample_filter=AcquireResampleFilter(image,exception);
1183 (void) SetResampleFilter(resample_filter,PointFilter,1.0);
1184 (void) SetResampleFilterInterpolateMethod(resample_filter,
1185 MeshInterpolatePixel);
1186 resize_view=AcquireCacheView(resize_image);
1187 for (y=0; y < (ssize_t) resize_image->rows; y++)
1189 register IndexPacket
1190 *restrict resize_indexes;
1195 register PixelPacket
1198 q=QueueCacheViewAuthenticPixels(resize_view,0,y,resize_image->columns,1,
1200 if (q == (PixelPacket *) NULL)
1202 resize_indexes=GetCacheViewAuthenticIndexQueue(resize_view);
1203 offset.y=((MagickRealType) y*image->rows/resize_image->rows);
1204 for (x=0; x < (ssize_t) resize_image->columns; x++)
1206 offset.x=((MagickRealType) x*image->columns/resize_image->columns);
1207 (void) ResamplePixelColor(resample_filter,offset.x-0.5,offset.y-0.5,
1209 SetPixelPacket(resize_image,&pixel,q,resize_indexes+x);
1212 if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
1214 proceed=SetImageProgress(image,AdaptiveResizeImageTag,(MagickOffsetType) y,
1216 if (proceed == MagickFalse)
1219 resample_filter=DestroyResampleFilter(resample_filter);
1220 resize_view=DestroyCacheView(resize_view);
1221 return(resize_image);
1225 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1229 + B e s s e l O r d e r O n e %
1233 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1235 % BesselOrderOne() computes the Bessel function of x of the first kind of
1236 % order 0. This is used to create the Jinc() filter function below.
1238 % Reduce x to |x| since j1(x)= -j1(-x), and for x in (0,8]
1244 % j1(x) = sqrt(2/(pi*x))*(p1(x)*cos(x1)-q1(x)*sin(x1))
1246 % where x1 = x-3*pi/4. Compute sin(x1) and cos(x1) as follow:
1248 % cos(x1) = cos(x)cos(3pi/4)+sin(x)sin(3pi/4)
1249 % = 1/sqrt(2) * (sin(x) - cos(x))
1250 % sin(x1) = sin(x)cos(3pi/4)-cos(x)sin(3pi/4)
1251 % = -1/sqrt(2) * (sin(x) + cos(x))
1253 % The format of the BesselOrderOne method is:
1255 % MagickRealType BesselOrderOne(MagickRealType x)
1257 % A description of each parameter follows:
1259 % o x: MagickRealType value.
1264 static MagickRealType I0(MagickRealType x)
1275 Zeroth order Bessel function of the first kind.
1280 for (i=2; t > MagickEpsilon; i++)
1283 t*=y/((MagickRealType) i*i);
1289 static MagickRealType J1(MagickRealType x)
1301 0.581199354001606143928050809e+21,
1302 -0.6672106568924916298020941484e+20,
1303 0.2316433580634002297931815435e+19,
1304 -0.3588817569910106050743641413e+17,
1305 0.2908795263834775409737601689e+15,
1306 -0.1322983480332126453125473247e+13,
1307 0.3413234182301700539091292655e+10,
1308 -0.4695753530642995859767162166e+7,
1309 0.270112271089232341485679099e+4
1313 0.11623987080032122878585294e+22,
1314 0.1185770712190320999837113348e+20,
1315 0.6092061398917521746105196863e+17,
1316 0.2081661221307607351240184229e+15,
1317 0.5243710262167649715406728642e+12,
1318 0.1013863514358673989967045588e+10,
1319 0.1501793594998585505921097578e+7,
1320 0.1606931573481487801970916749e+4,
1326 for (i=7; i >= 0; i--)
1335 static MagickRealType P1(MagickRealType x)
1347 0.352246649133679798341724373e+5,
1348 0.62758845247161281269005675e+5,
1349 0.313539631109159574238669888e+5,
1350 0.49854832060594338434500455e+4,
1351 0.2111529182853962382105718e+3,
1352 0.12571716929145341558495e+1
1356 0.352246649133679798068390431e+5,
1357 0.626943469593560511888833731e+5,
1358 0.312404063819041039923015703e+5,
1359 0.4930396490181088979386097e+4,
1360 0.2030775189134759322293574e+3,
1366 for (i=4; i >= 0; i--)
1368 p=p*(8.0/x)*(8.0/x)+Pone[i];
1369 q=q*(8.0/x)*(8.0/x)+Qone[i];
1375 static MagickRealType Q1(MagickRealType x)
1387 0.3511751914303552822533318e+3,
1388 0.7210391804904475039280863e+3,
1389 0.4259873011654442389886993e+3,
1390 0.831898957673850827325226e+2,
1391 0.45681716295512267064405e+1,
1392 0.3532840052740123642735e-1
1396 0.74917374171809127714519505e+4,
1397 0.154141773392650970499848051e+5,
1398 0.91522317015169922705904727e+4,
1399 0.18111867005523513506724158e+4,
1400 0.1038187585462133728776636e+3,
1406 for (i=4; i >= 0; i--)
1408 p=p*(8.0/x)*(8.0/x)+Pone[i];
1409 q=q*(8.0/x)*(8.0/x)+Qone[i];
1414 static MagickRealType BesselOrderOne(MagickRealType x)
1427 q=sqrt((double) (2.0/(MagickPI*x)))*(P1(x)*(1.0/sqrt(2.0)*(sin((double) x)-
1428 cos((double) x)))-8.0/x*Q1(x)*(-1.0/sqrt(2.0)*(sin((double) x)+
1436 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1440 + D e s t r o y R e s i z e F i l t e r %
1444 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1446 % DestroyResizeFilter() destroy the resize filter.
1448 % The format of the DestroyResizeFilter method is:
1450 % ResizeFilter *DestroyResizeFilter(ResizeFilter *resize_filter)
1452 % A description of each parameter follows:
1454 % o resize_filter: the resize filter.
1457 MagickExport ResizeFilter *DestroyResizeFilter(ResizeFilter *resize_filter)
1459 assert(resize_filter != (ResizeFilter *) NULL);
1460 assert(resize_filter->signature == MagickSignature);
1461 resize_filter->signature=(~MagickSignature);
1462 resize_filter=(ResizeFilter *) RelinquishMagickMemory(resize_filter);
1463 return(resize_filter);
1467 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1471 + G e t R e s i z e F i l t e r S u p p o r t %
1475 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1477 % GetResizeFilterSupport() return the current support window size for this
1478 % filter. Note that this may have been enlarged by filter:blur factor.
1480 % The format of the GetResizeFilterSupport method is:
1482 % MagickRealType GetResizeFilterSupport(const ResizeFilter *resize_filter)
1484 % A description of each parameter follows:
1486 % o filter: Image filter to use.
1489 MagickExport MagickRealType GetResizeFilterSupport(
1490 const ResizeFilter *resize_filter)
1492 assert(resize_filter != (ResizeFilter *) NULL);
1493 assert(resize_filter->signature == MagickSignature);
1494 return(resize_filter->support*resize_filter->blur);
1498 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1502 + G e t R e s i z e F i l t e r W e i g h t %
1506 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1508 % GetResizeFilterWeight evaluates the specified resize filter at the point x
1509 % which usally lies between zero and the filters current 'support' and
1510 % returns the weight of the filter function at that point.
1512 % The format of the GetResizeFilterWeight method is:
1514 % MagickRealType GetResizeFilterWeight(const ResizeFilter *resize_filter,
1515 % const MagickRealType x)
1517 % A description of each parameter follows:
1519 % o filter: the filter type.
1524 MagickExport MagickRealType GetResizeFilterWeight(
1525 const ResizeFilter *resize_filter,const MagickRealType x)
1532 Windowing function - scale the weighting filter by this amount.
1534 assert(resize_filter != (ResizeFilter *) NULL);
1535 assert(resize_filter->signature == MagickSignature);
1536 x_blur=fabs((double) x)/resize_filter->blur; /* X offset with blur scaling */
1537 if ((resize_filter->window_support < MagickEpsilon) ||
1538 (resize_filter->window == Box))
1539 scale=1.0; /* Point or Box Filter -- avoid division by zero */
1542 scale=resize_filter->scale;
1543 scale=resize_filter->window(x_blur*scale,resize_filter);
1545 return(scale*resize_filter->filter(x_blur,resize_filter));
1549 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1553 % M a g n i f y I m a g e %
1557 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1559 % MagnifyImage() is a convenience method that scales an image proportionally
1560 % to twice its size.
1562 % The format of the MagnifyImage method is:
1564 % Image *MagnifyImage(const Image *image,ExceptionInfo *exception)
1566 % A description of each parameter follows:
1568 % o image: the image.
1570 % o exception: return any errors or warnings in this structure.
1573 MagickExport Image *MagnifyImage(const Image *image,ExceptionInfo *exception)
1578 assert(image != (Image *) NULL);
1579 assert(image->signature == MagickSignature);
1580 if (image->debug != MagickFalse)
1581 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1582 assert(exception != (ExceptionInfo *) NULL);
1583 assert(exception->signature == MagickSignature);
1584 magnify_image=ResizeImage(image,2*image->columns,2*image->rows,CubicFilter,
1586 return(magnify_image);
1590 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1594 % M i n i f y I m a g e %
1598 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1600 % MinifyImage() is a convenience method that scales an image proportionally
1603 % The format of the MinifyImage method is:
1605 % Image *MinifyImage(const Image *image,ExceptionInfo *exception)
1607 % A description of each parameter follows:
1609 % o image: the image.
1611 % o exception: return any errors or warnings in this structure.
1614 MagickExport Image *MinifyImage(const Image *image,ExceptionInfo *exception)
1619 assert(image != (Image *) NULL);
1620 assert(image->signature == MagickSignature);
1621 if (image->debug != MagickFalse)
1622 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1623 assert(exception != (ExceptionInfo *) NULL);
1624 assert(exception->signature == MagickSignature);
1625 minify_image=ResizeImage(image,image->columns/2,image->rows/2,CubicFilter,
1627 return(minify_image);
1631 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1635 % R e s a m p l e I m a g e %
1639 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1641 % ResampleImage() resize image in terms of its pixel size, so that when
1642 % displayed at the given resolution it will be the same size in terms of
1643 % real world units as the original image at the original resolution.
1645 % The format of the ResampleImage method is:
1647 % Image *ResampleImage(Image *image,const double x_resolution,
1648 % const double y_resolution,const FilterTypes filter,const double blur,
1649 % ExceptionInfo *exception)
1651 % A description of each parameter follows:
1653 % o image: the image to be resized to fit the given resolution.
1655 % o x_resolution: the new image x resolution.
1657 % o y_resolution: the new image y resolution.
1659 % o filter: Image filter to use.
1661 % o blur: the blur factor where > 1 is blurry, < 1 is sharp.
1664 MagickExport Image *ResampleImage(const Image *image,const double x_resolution,
1665 const double y_resolution,const FilterTypes filter,const double blur,
1666 ExceptionInfo *exception)
1668 #define ResampleImageTag "Resample/Image"
1678 Initialize sampled image attributes.
1680 assert(image != (const Image *) NULL);
1681 assert(image->signature == MagickSignature);
1682 if (image->debug != MagickFalse)
1683 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1684 assert(exception != (ExceptionInfo *) NULL);
1685 assert(exception->signature == MagickSignature);
1686 width=(size_t) (x_resolution*image->columns/(image->x_resolution == 0.0 ?
1687 72.0 : image->x_resolution)+0.5);
1688 height=(size_t) (y_resolution*image->rows/(image->y_resolution == 0.0 ?
1689 72.0 : image->y_resolution)+0.5);
1690 resample_image=ResizeImage(image,width,height,filter,blur,exception);
1691 if (resample_image != (Image *) NULL)
1693 resample_image->x_resolution=x_resolution;
1694 resample_image->y_resolution=y_resolution;
1696 return(resample_image);
1698 #if defined(MAGICKCORE_LQR_DELEGATE)
1701 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1705 % L i q u i d R e s c a l e I m a g e %
1709 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1711 % LiquidRescaleImage() rescales image with seam carving.
1713 % The format of the LiquidRescaleImage method is:
1715 % Image *LiquidRescaleImage(const Image *image,
1716 % const size_t columns,const size_t rows,
1717 % const double delta_x,const double rigidity,ExceptionInfo *exception)
1719 % A description of each parameter follows:
1721 % o image: the image.
1723 % o columns: the number of columns in the rescaled image.
1725 % o rows: the number of rows in the rescaled image.
1727 % o delta_x: maximum seam transversal step (0 means straight seams).
1729 % o rigidity: introduce a bias for non-straight seams (typically 0).
1731 % o exception: return any errors or warnings in this structure.
1734 MagickExport Image *LiquidRescaleImage(const Image *image,const size_t columns,
1735 const size_t rows,const double delta_x,const double rigidity,
1736 ExceptionInfo *exception)
1738 #define LiquidRescaleImageTag "Rescale/Image"
1772 Liquid rescale image.
1774 assert(image != (const Image *) NULL);
1775 assert(image->signature == MagickSignature);
1776 if (image->debug != MagickFalse)
1777 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1778 assert(exception != (ExceptionInfo *) NULL);
1779 assert(exception->signature == MagickSignature);
1780 if ((columns == 0) || (rows == 0))
1781 return((Image *) NULL);
1782 if ((columns == image->columns) && (rows == image->rows))
1783 return(CloneImage(image,0,0,MagickTrue,exception));
1784 if ((columns <= 2) || (rows <= 2))
1785 return(ResizeImage(image,columns,rows,image->filter,image->blur,exception));
1786 if ((columns >= (2*image->columns)) || (rows >= (2*image->rows)))
1796 Honor liquid resize size limitations.
1798 for (width=image->columns; columns >= (2*width-1); width*=2);
1799 for (height=image->rows; rows >= (2*height-1); height*=2);
1800 resize_image=ResizeImage(image,width,height,image->filter,image->blur,
1802 if (resize_image == (Image *) NULL)
1803 return((Image *) NULL);
1804 rescale_image=LiquidRescaleImage(resize_image,columns,rows,delta_x,
1805 rigidity,exception);
1806 resize_image=DestroyImage(resize_image);
1807 return(rescale_image);
1810 if (image->matte == MagickFalse)
1812 if (image->colorspace == CMYKColorspace)
1815 if (image->matte == MagickFalse)
1818 pixels=(unsigned char *) AcquireQuantumMemory(image->columns,image->rows*
1819 strlen(map)*sizeof(*pixels));
1820 if (pixels == (unsigned char *) NULL)
1821 return((Image *) NULL);
1822 status=ExportImagePixels(image,0,0,image->columns,image->rows,map,CharPixel,
1824 if (status == MagickFalse)
1826 pixels=(unsigned char *) RelinquishMagickMemory(pixels);
1827 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
1829 carver=lqr_carver_new(pixels,image->columns,image->rows,strlen(map));
1830 if (carver == (LqrCarver *) NULL)
1832 pixels=(unsigned char *) RelinquishMagickMemory(pixels);
1833 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
1835 lqr_status=lqr_carver_init(carver,(int) delta_x,rigidity);
1836 lqr_status=lqr_carver_resize(carver,columns,rows);
1837 rescale_image=CloneImage(image,lqr_carver_get_width(carver),
1838 lqr_carver_get_height(carver),MagickTrue,exception);
1839 if (rescale_image == (Image *) NULL)
1841 pixels=(unsigned char *) RelinquishMagickMemory(pixels);
1842 return((Image *) NULL);
1844 if (SetImageStorageClass(rescale_image,DirectClass) == MagickFalse)
1846 InheritException(exception,&rescale_image->exception);
1847 rescale_image=DestroyImage(rescale_image);
1848 return((Image *) NULL);
1850 GetMagickPixelPacket(rescale_image,&pixel);
1851 (void) lqr_carver_scan_reset(carver);
1852 rescale_view=AcquireCacheView(rescale_image);
1853 while (lqr_carver_scan(carver,&x,&y,&packet) != 0)
1855 register IndexPacket
1856 *restrict rescale_indexes;
1858 register PixelPacket
1861 q=QueueCacheViewAuthenticPixels(rescale_view,x,y,1,1,exception);
1862 if (q == (PixelPacket *) NULL)
1864 rescale_indexes=GetCacheViewAuthenticIndexQueue(rescale_view);
1865 pixel.red=QuantumRange*(packet[0]/255.0);
1866 pixel.green=QuantumRange*(packet[1]/255.0);
1867 pixel.blue=QuantumRange*(packet[2]/255.0);
1868 if (image->colorspace != CMYKColorspace)
1870 if (image->matte == MagickFalse)
1871 pixel.opacity=QuantumRange*(packet[3]/255.0);
1875 pixel.index=QuantumRange*(packet[3]/255.0);
1876 if (image->matte == MagickFalse)
1877 pixel.opacity=QuantumRange*(packet[4]/255.0);
1879 SetPixelPacket(rescale_image,&pixel,q,rescale_indexes);
1880 if (SyncCacheViewAuthenticPixels(rescale_view,exception) == MagickFalse)
1883 rescale_view=DestroyCacheView(rescale_view);
1885 Relinquish resources.
1887 lqr_carver_destroy(carver);
1888 return(rescale_image);
1891 MagickExport Image *LiquidRescaleImage(const Image *image,
1892 const size_t magick_unused(columns),const size_t magick_unused(rows),
1893 const double magick_unused(delta_x),const double magick_unused(rigidity),
1894 ExceptionInfo *exception)
1896 assert(image != (const Image *) NULL);
1897 assert(image->signature == MagickSignature);
1898 if (image->debug != MagickFalse)
1899 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1900 assert(exception != (ExceptionInfo *) NULL);
1901 assert(exception->signature == MagickSignature);
1902 (void) ThrowMagickException(exception,GetMagickModule(),MissingDelegateError,
1903 "DelegateLibrarySupportNotBuiltIn","`%s' (LQR)",image->filename);
1904 return((Image *) NULL);
1909 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1913 % R e s i z e I m a g e %
1917 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1919 % ResizeImage() scales an image to the desired dimensions, using the given
1920 % filter (see AcquireFilterInfo()).
1922 % If an undefined filter is given the filter defaults to Mitchell for a
1923 % colormapped image, a image with a matte channel, or if the image is
1924 % enlarged. Otherwise the filter defaults to a Lanczos.
1926 % ResizeImage() was inspired by Paul Heckbert's "zoom" program.
1928 % The format of the ResizeImage method is:
1930 % Image *ResizeImage(Image *image,const size_t columns,
1931 % const size_t rows,const FilterTypes filter,const double blur,
1932 % ExceptionInfo *exception)
1934 % A description of each parameter follows:
1936 % o image: the image.
1938 % o columns: the number of columns in the scaled image.
1940 % o rows: the number of rows in the scaled image.
1942 % o filter: Image filter to use.
1944 % o blur: the blur factor where > 1 is blurry, < 1 is sharp. Typically set
1947 % o exception: return any errors or warnings in this structure.
1951 typedef struct _ContributionInfo
1960 static ContributionInfo **DestroyContributionThreadSet(
1961 ContributionInfo **contribution)
1966 assert(contribution != (ContributionInfo **) NULL);
1967 for (i=0; i < (ssize_t) GetOpenMPMaximumThreads(); i++)
1968 if (contribution[i] != (ContributionInfo *) NULL)
1969 contribution[i]=(ContributionInfo *) RelinquishMagickMemory(
1971 contribution=(ContributionInfo **) RelinquishMagickMemory(contribution);
1972 return(contribution);
1975 static ContributionInfo **AcquireContributionThreadSet(const size_t count)
1986 number_threads=GetOpenMPMaximumThreads();
1987 contribution=(ContributionInfo **) AcquireQuantumMemory(number_threads,
1988 sizeof(*contribution));
1989 if (contribution == (ContributionInfo **) NULL)
1990 return((ContributionInfo **) NULL);
1991 (void) ResetMagickMemory(contribution,0,number_threads*sizeof(*contribution));
1992 for (i=0; i < (ssize_t) number_threads; i++)
1994 contribution[i]=(ContributionInfo *) AcquireQuantumMemory(count,
1995 sizeof(**contribution));
1996 if (contribution[i] == (ContributionInfo *) NULL)
1997 return(DestroyContributionThreadSet(contribution));
1999 return(contribution);
2002 static inline double MagickMax(const double x,const double y)
2009 static inline double MagickMin(const double x,const double y)
2016 static MagickBooleanType HorizontalFilter(const ResizeFilter *resize_filter,
2017 const Image *image,Image *resize_image,const MagickRealType x_factor,
2018 const MagickSizeType span,MagickOffsetType *offset,ExceptionInfo *exception)
2020 #define ResizeImageTag "Resize/Image"
2030 **restrict contributions;
2046 Apply filter to resize horizontally from image to resize image.
2048 scale=MagickMax(1.0/x_factor+MagickEpsilon,1.0);
2049 support=scale*GetResizeFilterSupport(resize_filter);
2050 storage_class=support > 0.5 ? DirectClass : image->storage_class;
2051 if (SetImageStorageClass(resize_image,storage_class) == MagickFalse)
2053 InheritException(exception,&resize_image->exception);
2054 return(MagickFalse);
2059 Support too small even for nearest neighbour: Reduce to point
2062 support=(MagickRealType) 0.5;
2065 contributions=AcquireContributionThreadSet((size_t) (2.0*support+3.0));
2066 if (contributions == (ContributionInfo **) NULL)
2068 (void) ThrowMagickException(exception,GetMagickModule(),
2069 ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
2070 return(MagickFalse);
2074 (void) ResetMagickMemory(&zero,0,sizeof(zero));
2075 image_view=AcquireCacheView(image);
2076 resize_view=AcquireCacheView(resize_image);
2077 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2078 #pragma omp parallel for shared(status)
2080 for (x=0; x < (ssize_t) resize_image->columns; x++)
2086 register const IndexPacket
2089 register const PixelPacket
2092 register ContributionInfo
2093 *restrict contribution;
2095 register IndexPacket
2096 *restrict resize_indexes;
2098 register PixelPacket
2109 if (status == MagickFalse)
2111 center=(MagickRealType) (x+0.5)/x_factor;
2112 start=(ssize_t) MagickMax(center-support+0.5,0.0);
2113 stop=(ssize_t) MagickMin(center+support+0.5,(double) image->columns);
2115 contribution=contributions[GetOpenMPThreadId()];
2116 for (n=0; n < (stop-start); n++)
2118 contribution[n].pixel=start+n;
2119 contribution[n].weight=GetResizeFilterWeight(resize_filter,scale*
2120 ((MagickRealType) (start+n)-center+0.5));
2121 density+=contribution[n].weight;
2123 if ((density != 0.0) && (density != 1.0))
2131 density=1.0/density;
2132 for (i=0; i < n; i++)
2133 contribution[i].weight*=density;
2135 p=GetCacheViewVirtualPixels(image_view,contribution[0].pixel,0,(size_t)
2136 (contribution[n-1].pixel-contribution[0].pixel+1),image->rows,exception);
2137 q=QueueCacheViewAuthenticPixels(resize_view,x,0,1,resize_image->rows,
2139 if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
2144 indexes=GetCacheViewVirtualIndexQueue(image_view);
2145 resize_indexes=GetCacheViewAuthenticIndexQueue(resize_view);
2146 for (y=0; y < (ssize_t) resize_image->rows; y++)
2161 if (image->matte == MagickFalse)
2163 for (i=0; i < n; i++)
2165 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2166 (contribution[i].pixel-contribution[0].pixel);
2167 alpha=contribution[i].weight;
2168 pixel.red+=alpha*(p+j)->red;
2169 pixel.green+=alpha*(p+j)->green;
2170 pixel.blue+=alpha*(p+j)->blue;
2171 pixel.opacity+=alpha*(p+j)->opacity;
2173 SetRedPixelComponent(q,ClampRedPixelComponent(&pixel));
2174 SetGreenPixelComponent(q,ClampGreenPixelComponent(&pixel));
2175 SetBluePixelComponent(q,ClampBluePixelComponent(&pixel));
2176 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2177 if ((image->colorspace == CMYKColorspace) &&
2178 (resize_image->colorspace == CMYKColorspace))
2180 for (i=0; i < n; i++)
2182 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2183 (contribution[i].pixel-contribution[0].pixel);
2184 alpha=contribution[i].weight;
2185 pixel.index+=alpha*indexes[j];
2187 resize_indexes[y]=(IndexPacket) ClampToQuantum(pixel.index);
2196 for (i=0; i < n; i++)
2198 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2199 (contribution[i].pixel-contribution[0].pixel);
2200 alpha=contribution[i].weight*QuantumScale*
2201 GetAlphaPixelComponent(p+j);
2202 pixel.red+=alpha*(p+j)->red;
2203 pixel.green+=alpha*(p+j)->green;
2204 pixel.blue+=alpha*(p+j)->blue;
2205 pixel.opacity+=contribution[i].weight*(p+j)->opacity;
2208 gamma=1.0/(fabs((double) gamma) <= MagickEpsilon ? 1.0 : gamma);
2209 q->red=ClampToQuantum(gamma*GetRedPixelComponent(&pixel));
2210 q->green=ClampToQuantum(gamma*GetGreenPixelComponent(&pixel));
2211 q->blue=ClampToQuantum(gamma*GetBluePixelComponent(&pixel));
2212 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2213 if ((image->colorspace == CMYKColorspace) &&
2214 (resize_image->colorspace == CMYKColorspace))
2216 for (i=0; i < n; i++)
2218 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2219 (contribution[i].pixel-contribution[0].pixel);
2220 alpha=contribution[i].weight*QuantumScale*
2221 GetAlphaPixelComponent(p+j);
2222 pixel.index+=alpha*indexes[j];
2224 resize_indexes[y]=(IndexPacket) ClampToQuantum(gamma*
2225 GetIndexPixelComponent(&pixel));
2228 if ((resize_image->storage_class == PseudoClass) &&
2229 (image->storage_class == PseudoClass))
2231 i=(ssize_t) (MagickMin(MagickMax(center,(double) start),(double) stop-
2233 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2234 (contribution[i-start].pixel-contribution[0].pixel);
2235 resize_indexes[y]=indexes[j];
2239 if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
2241 if (image->progress_monitor != (MagickProgressMonitor) NULL)
2246 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2247 #pragma omp critical (MagickCore_HorizontalFilter)
2249 proceed=SetImageProgress(image,ResizeImageTag,(*offset)++,span);
2250 if (proceed == MagickFalse)
2254 resize_view=DestroyCacheView(resize_view);
2255 image_view=DestroyCacheView(image_view);
2256 contributions=DestroyContributionThreadSet(contributions);
2260 static MagickBooleanType VerticalFilter(const ResizeFilter *resize_filter,
2261 const Image *image,Image *resize_image,const MagickRealType y_factor,
2262 const MagickSizeType span,MagickOffsetType *offset,ExceptionInfo *exception)
2272 **restrict contributions;
2288 Apply filter to resize vertically from image to resize image.
2290 scale=MagickMax(1.0/y_factor+MagickEpsilon,1.0);
2291 support=scale*GetResizeFilterSupport(resize_filter);
2292 storage_class=support > 0.5 ? DirectClass : image->storage_class;
2293 if (SetImageStorageClass(resize_image,storage_class) == MagickFalse)
2295 InheritException(exception,&resize_image->exception);
2296 return(MagickFalse);
2301 Support too small even for nearest neighbour: Reduce to point
2304 support=(MagickRealType) 0.5;
2307 contributions=AcquireContributionThreadSet((size_t) (2.0*support+3.0));
2308 if (contributions == (ContributionInfo **) NULL)
2310 (void) ThrowMagickException(exception,GetMagickModule(),
2311 ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
2312 return(MagickFalse);
2316 (void) ResetMagickMemory(&zero,0,sizeof(zero));
2317 image_view=AcquireCacheView(image);
2318 resize_view=AcquireCacheView(resize_image);
2319 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2320 #pragma omp parallel for shared(status)
2322 for (y=0; y < (ssize_t) resize_image->rows; y++)
2328 register const IndexPacket
2331 register const PixelPacket
2334 register ContributionInfo
2335 *restrict contribution;
2337 register IndexPacket
2338 *restrict resize_indexes;
2340 register PixelPacket
2351 if (status == MagickFalse)
2353 center=(MagickRealType) (y+0.5)/y_factor;
2354 start=(ssize_t) MagickMax(center-support+0.5,0.0);
2355 stop=(ssize_t) MagickMin(center+support+0.5,(double) image->rows);
2357 contribution=contributions[GetOpenMPThreadId()];
2358 for (n=0; n < (stop-start); n++)
2360 contribution[n].pixel=start+n;
2361 contribution[n].weight=GetResizeFilterWeight(resize_filter,scale*
2362 ((MagickRealType) (start+n)-center+0.5));
2363 density+=contribution[n].weight;
2365 if ((density != 0.0) && (density != 1.0))
2373 density=1.0/density;
2374 for (i=0; i < n; i++)
2375 contribution[i].weight*=density;
2377 p=GetCacheViewVirtualPixels(image_view,0,contribution[0].pixel,
2378 image->columns,(size_t) (contribution[n-1].pixel-contribution[0].pixel+1),
2380 q=QueueCacheViewAuthenticPixels(resize_view,0,y,resize_image->columns,1,
2382 if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
2387 indexes=GetCacheViewVirtualIndexQueue(image_view);
2388 resize_indexes=GetCacheViewAuthenticIndexQueue(resize_view);
2389 for (x=0; x < (ssize_t) resize_image->columns; x++)
2404 if (image->matte == MagickFalse)
2406 for (i=0; i < n; i++)
2408 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2410 alpha=contribution[i].weight;
2411 pixel.red+=alpha*(p+j)->red;
2412 pixel.green+=alpha*(p+j)->green;
2413 pixel.blue+=alpha*(p+j)->blue;
2414 pixel.opacity+=alpha*(p+j)->opacity;
2416 SetRedPixelComponent(q,ClampRedPixelComponent(&pixel));
2417 SetGreenPixelComponent(q,ClampGreenPixelComponent(&pixel));
2418 SetBluePixelComponent(q,ClampBluePixelComponent(&pixel));
2419 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2420 if ((image->colorspace == CMYKColorspace) &&
2421 (resize_image->colorspace == CMYKColorspace))
2423 for (i=0; i < n; i++)
2425 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2427 alpha=contribution[i].weight;
2428 pixel.index+=alpha*indexes[j];
2430 resize_indexes[x]=(IndexPacket) ClampToQuantum(pixel.index);
2439 for (i=0; i < n; i++)
2441 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2443 alpha=contribution[i].weight*QuantumScale*
2444 GetAlphaPixelComponent(p+j);
2445 pixel.red+=alpha*(p+j)->red;
2446 pixel.green+=alpha*(p+j)->green;
2447 pixel.blue+=alpha*(p+j)->blue;
2448 pixel.opacity+=contribution[i].weight*(p+j)->opacity;
2451 gamma=1.0/(fabs((double) gamma) <= MagickEpsilon ? 1.0 : gamma);
2452 q->red=ClampToQuantum(gamma*GetRedPixelComponent(&pixel));
2453 q->green=ClampToQuantum(gamma*GetGreenPixelComponent(&pixel));
2454 q->blue=ClampToQuantum(gamma*GetBluePixelComponent(&pixel));
2455 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2456 if ((image->colorspace == CMYKColorspace) &&
2457 (resize_image->colorspace == CMYKColorspace))
2459 for (i=0; i < n; i++)
2461 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2463 alpha=contribution[i].weight*QuantumScale*
2464 GetAlphaPixelComponent(p+j);
2465 pixel.index+=alpha*indexes[j];
2467 resize_indexes[x]=(IndexPacket) ClampToQuantum(gamma*
2468 GetIndexPixelComponent(&pixel));
2471 if ((resize_image->storage_class == PseudoClass) &&
2472 (image->storage_class == PseudoClass))
2474 i=(ssize_t) (MagickMin(MagickMax(center,(double) start),(double) stop-
2476 j=(ssize_t) ((contribution[i-start].pixel-contribution[0].pixel)*
2478 resize_indexes[x]=indexes[j];
2482 if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
2484 if (image->progress_monitor != (MagickProgressMonitor) NULL)
2489 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2490 #pragma omp critical (MagickCore_VerticalFilter)
2492 proceed=SetImageProgress(image,ResizeImageTag,(*offset)++,span);
2493 if (proceed == MagickFalse)
2497 resize_view=DestroyCacheView(resize_view);
2498 image_view=DestroyCacheView(image_view);
2499 contributions=DestroyContributionThreadSet(contributions);
2503 MagickExport Image *ResizeImage(const Image *image,const size_t columns,
2504 const size_t rows,const FilterTypes filter,const double blur,
2505 ExceptionInfo *exception)
2507 #define WorkLoadFactor 0.265
2533 Acquire resize image.
2535 assert(image != (Image *) NULL);
2536 assert(image->signature == MagickSignature);
2537 if (image->debug != MagickFalse)
2538 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
2539 assert(exception != (ExceptionInfo *) NULL);
2540 assert(exception->signature == MagickSignature);
2541 if ((columns == 0) || (rows == 0))
2542 ThrowImageException(ImageError,"NegativeOrZeroImageSize");
2543 if ((columns == image->columns) && (rows == image->rows) &&
2544 (filter == UndefinedFilter) && (blur == 1.0))
2545 return(CloneImage(image,0,0,MagickTrue,exception));
2546 resize_image=CloneImage(image,columns,rows,MagickTrue,exception);
2547 if (resize_image == (Image *) NULL)
2548 return(resize_image);
2550 Acquire resize filter.
2552 x_factor=(MagickRealType) columns/(MagickRealType) image->columns;
2553 y_factor=(MagickRealType) rows/(MagickRealType) image->rows;
2554 if ((x_factor*y_factor) > WorkLoadFactor)
2555 filter_image=CloneImage(image,columns,image->rows,MagickTrue,exception);
2557 filter_image=CloneImage(image,image->columns,rows,MagickTrue,exception);
2558 if (filter_image == (Image *) NULL)
2559 return(DestroyImage(resize_image));
2560 filter_type=LanczosFilter;
2561 if (filter != UndefinedFilter)
2564 if ((x_factor == 1.0) && (y_factor == 1.0))
2565 filter_type=PointFilter;
2567 if ((image->storage_class == PseudoClass) ||
2568 (image->matte != MagickFalse) || ((x_factor*y_factor) > 1.0))
2569 filter_type=MitchellFilter;
2570 resize_filter=AcquireResizeFilter(image,filter_type,blur,MagickFalse,
2576 if ((x_factor*y_factor) > WorkLoadFactor)
2578 span=(MagickSizeType) (filter_image->columns+rows);
2579 status=HorizontalFilter(resize_filter,image,filter_image,x_factor,span,
2581 status&=VerticalFilter(resize_filter,filter_image,resize_image,y_factor,
2582 span,&offset,exception);
2586 span=(MagickSizeType) (filter_image->rows+columns);
2587 status=VerticalFilter(resize_filter,image,filter_image,y_factor,span,
2589 status&=HorizontalFilter(resize_filter,filter_image,resize_image,x_factor,
2590 span,&offset,exception);
2595 filter_image=DestroyImage(filter_image);
2596 resize_filter=DestroyResizeFilter(resize_filter);
2597 if ((status == MagickFalse) || (resize_image == (Image *) NULL))
2598 return((Image *) NULL);
2599 resize_image->type=image->type;
2600 return(resize_image);
2604 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2608 % S a m p l e I m a g e %
2612 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2614 % SampleImage() scales an image to the desired dimensions with pixel
2615 % sampling. Unlike other scaling methods, this method does not introduce
2616 % any additional color into the scaled image.
2618 % The format of the SampleImage method is:
2620 % Image *SampleImage(const Image *image,const size_t columns,
2621 % const size_t rows,ExceptionInfo *exception)
2623 % A description of each parameter follows:
2625 % o image: the image.
2627 % o columns: the number of columns in the sampled image.
2629 % o rows: the number of rows in the sampled image.
2631 % o exception: return any errors or warnings in this structure.
2634 MagickExport Image *SampleImage(const Image *image,const size_t columns,
2635 const size_t rows,ExceptionInfo *exception)
2637 #define SampleImageTag "Sample/Image"
2660 Initialize sampled image attributes.
2662 assert(image != (const Image *) NULL);
2663 assert(image->signature == MagickSignature);
2664 if (image->debug != MagickFalse)
2665 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
2666 assert(exception != (ExceptionInfo *) NULL);
2667 assert(exception->signature == MagickSignature);
2668 if ((columns == 0) || (rows == 0))
2669 ThrowImageException(ImageError,"NegativeOrZeroImageSize");
2670 if ((columns == image->columns) && (rows == image->rows))
2671 return(CloneImage(image,0,0,MagickTrue,exception));
2672 sample_image=CloneImage(image,columns,rows,MagickTrue,exception);
2673 if (sample_image == (Image *) NULL)
2674 return((Image *) NULL);
2676 Allocate scan line buffer and column offset buffers.
2678 x_offset=(ssize_t *) AcquireQuantumMemory((size_t) sample_image->columns,
2680 if (x_offset == (ssize_t *) NULL)
2682 sample_image=DestroyImage(sample_image);
2683 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
2685 for (x=0; x < (ssize_t) sample_image->columns; x++)
2686 x_offset[x]=(ssize_t) (((MagickRealType) x+0.5)*image->columns/
2687 sample_image->columns);
2693 image_view=AcquireCacheView(image);
2694 sample_view=AcquireCacheView(sample_image);
2695 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2696 #pragma omp parallel for schedule(dynamic,4) shared(progress,status)
2698 for (y=0; y < (ssize_t) sample_image->rows; y++)
2700 register const IndexPacket
2703 register const PixelPacket
2706 register IndexPacket
2707 *restrict sample_indexes;
2709 register PixelPacket
2718 if (status == MagickFalse)
2720 y_offset=(ssize_t) (((MagickRealType) y+0.5)*image->rows/
2721 sample_image->rows);
2722 p=GetCacheViewVirtualPixels(image_view,0,y_offset,image->columns,1,
2724 q=QueueCacheViewAuthenticPixels(sample_view,0,y,sample_image->columns,1,
2726 if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
2731 indexes=GetCacheViewAuthenticIndexQueue(image_view);
2732 sample_indexes=GetCacheViewAuthenticIndexQueue(sample_view);
2736 for (x=0; x < (ssize_t) sample_image->columns; x++)
2737 *q++=p[x_offset[x]];
2738 if ((image->storage_class == PseudoClass) ||
2739 (image->colorspace == CMYKColorspace))
2740 for (x=0; x < (ssize_t) sample_image->columns; x++)
2741 sample_indexes[x]=indexes[x_offset[x]];
2742 if (SyncCacheViewAuthenticPixels(sample_view,exception) == MagickFalse)
2744 if (image->progress_monitor != (MagickProgressMonitor) NULL)
2749 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2750 #pragma omp critical (MagickCore_SampleImage)
2752 proceed=SetImageProgress(image,SampleImageTag,progress++,image->rows);
2753 if (proceed == MagickFalse)
2757 image_view=DestroyCacheView(image_view);
2758 sample_view=DestroyCacheView(sample_view);
2759 x_offset=(ssize_t *) RelinquishMagickMemory(x_offset);
2760 sample_image->type=image->type;
2761 return(sample_image);
2765 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2769 % S c a l e I m a g e %
2773 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2775 % ScaleImage() changes the size of an image to the given dimensions.
2777 % The format of the ScaleImage method is:
2779 % Image *ScaleImage(const Image *image,const size_t columns,
2780 % const size_t rows,ExceptionInfo *exception)
2782 % A description of each parameter follows:
2784 % o image: the image.
2786 % o columns: the number of columns in the scaled image.
2788 % o rows: the number of rows in the scaled image.
2790 % o exception: return any errors or warnings in this structure.
2793 MagickExport Image *ScaleImage(const Image *image,const size_t columns,
2794 const size_t rows,ExceptionInfo *exception)
2796 #define ScaleImageTag "Scale/Image"
2830 Initialize scaled image attributes.
2832 assert(image != (const Image *) NULL);
2833 assert(image->signature == MagickSignature);
2834 if (image->debug != MagickFalse)
2835 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
2836 assert(exception != (ExceptionInfo *) NULL);
2837 assert(exception->signature == MagickSignature);
2838 if ((columns == 0) || (rows == 0))
2839 return((Image *) NULL);
2840 if ((columns == image->columns) && (rows == image->rows))
2841 return(CloneImage(image,0,0,MagickTrue,exception));
2842 scale_image=CloneImage(image,columns,rows,MagickTrue,exception);
2843 if (scale_image == (Image *) NULL)
2844 return((Image *) NULL);
2845 if (SetImageStorageClass(scale_image,DirectClass) == MagickFalse)
2847 InheritException(exception,&scale_image->exception);
2848 scale_image=DestroyImage(scale_image);
2849 return((Image *) NULL);
2854 x_vector=(MagickPixelPacket *) AcquireQuantumMemory((size_t) image->columns,
2857 if (image->rows != scale_image->rows)
2858 scanline=(MagickPixelPacket *) AcquireQuantumMemory((size_t) image->columns,
2860 scale_scanline=(MagickPixelPacket *) AcquireQuantumMemory((size_t)
2861 scale_image->columns,sizeof(*scale_scanline));
2862 y_vector=(MagickPixelPacket *) AcquireQuantumMemory((size_t) image->columns,
2864 if ((scanline == (MagickPixelPacket *) NULL) ||
2865 (scale_scanline == (MagickPixelPacket *) NULL) ||
2866 (x_vector == (MagickPixelPacket *) NULL) ||
2867 (y_vector == (MagickPixelPacket *) NULL))
2869 scale_image=DestroyImage(scale_image);
2870 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
2876 next_row=MagickTrue;
2878 scale.y=(double) scale_image->rows/(double) image->rows;
2879 (void) ResetMagickMemory(y_vector,0,(size_t) image->columns*
2881 GetMagickPixelPacket(image,&pixel);
2882 (void) ResetMagickMemory(&zero,0,sizeof(zero));
2884 image_view=AcquireCacheView(image);
2885 scale_view=AcquireCacheView(scale_image);
2886 for (y=0; y < (ssize_t) scale_image->rows; y++)
2888 register const IndexPacket
2891 register const PixelPacket
2894 register IndexPacket
2895 *restrict scale_indexes;
2897 register MagickPixelPacket
2901 register PixelPacket
2907 q=QueueCacheViewAuthenticPixels(scale_view,0,y,scale_image->columns,1,
2909 if (q == (PixelPacket *) NULL)
2911 scale_indexes=GetAuthenticIndexQueue(scale_image);
2912 if (scale_image->rows == image->rows)
2915 Read a new scanline.
2917 p=GetCacheViewVirtualPixels(image_view,0,i++,image->columns,1,
2919 if (p == (const PixelPacket *) NULL)
2921 indexes=GetCacheViewVirtualIndexQueue(image_view);
2922 for (x=0; x < (ssize_t) image->columns; x++)
2924 x_vector[x].red=(MagickRealType) GetRedPixelComponent(p);
2925 x_vector[x].green=(MagickRealType) GetGreenPixelComponent(p);
2926 x_vector[x].blue=(MagickRealType) GetBluePixelComponent(p);
2927 if (image->matte != MagickFalse)
2928 x_vector[x].opacity=(MagickRealType) GetOpacityPixelComponent(p);
2929 if (indexes != (IndexPacket *) NULL)
2930 x_vector[x].index=(MagickRealType) indexes[x];
2939 while (scale.y < span.y)
2941 if ((next_row != MagickFalse) &&
2942 (number_rows < (ssize_t) image->rows))
2945 Read a new scanline.
2947 p=GetCacheViewVirtualPixels(image_view,0,i++,image->columns,1,
2949 if (p == (const PixelPacket *) NULL)
2951 indexes=GetCacheViewVirtualIndexQueue(image_view);
2952 for (x=0; x < (ssize_t) image->columns; x++)
2954 x_vector[x].red=(MagickRealType) GetRedPixelComponent(p);
2955 x_vector[x].green=(MagickRealType) GetGreenPixelComponent(p);
2956 x_vector[x].blue=(MagickRealType) GetBluePixelComponent(p);
2957 if (image->matte != MagickFalse)
2958 x_vector[x].opacity=(MagickRealType)
2959 GetOpacityPixelComponent(p);
2960 if (indexes != (IndexPacket *) NULL)
2961 x_vector[x].index=(MagickRealType) indexes[x];
2966 for (x=0; x < (ssize_t) image->columns; x++)
2968 y_vector[x].red+=scale.y*x_vector[x].red;
2969 y_vector[x].green+=scale.y*x_vector[x].green;
2970 y_vector[x].blue+=scale.y*x_vector[x].blue;
2971 if (scale_image->matte != MagickFalse)
2972 y_vector[x].opacity+=scale.y*x_vector[x].opacity;
2973 if (scale_indexes != (IndexPacket *) NULL)
2974 y_vector[x].index+=scale.y*x_vector[x].index;
2977 scale.y=(double) scale_image->rows/(double) image->rows;
2978 next_row=MagickTrue;
2980 if ((next_row != MagickFalse) && (number_rows < (ssize_t) image->rows))
2983 Read a new scanline.
2985 p=GetCacheViewVirtualPixels(image_view,0,i++,image->columns,1,
2987 if (p == (const PixelPacket *) NULL)
2989 indexes=GetCacheViewVirtualIndexQueue(image_view);
2990 for (x=0; x < (ssize_t) image->columns; x++)
2992 x_vector[x].red=(MagickRealType) GetRedPixelComponent(p);
2993 x_vector[x].green=(MagickRealType) GetGreenPixelComponent(p);
2994 x_vector[x].blue=(MagickRealType) GetBluePixelComponent(p);
2995 if (image->matte != MagickFalse)
2996 x_vector[x].opacity=(MagickRealType)
2997 GetOpacityPixelComponent(p);
2998 if (indexes != (IndexPacket *) NULL)
2999 x_vector[x].index=(MagickRealType) indexes[x];
3003 next_row=MagickFalse;
3006 for (x=0; x < (ssize_t) image->columns; x++)
3008 pixel.red=y_vector[x].red+span.y*x_vector[x].red;
3009 pixel.green=y_vector[x].green+span.y*x_vector[x].green;
3010 pixel.blue=y_vector[x].blue+span.y*x_vector[x].blue;
3011 if (image->matte != MagickFalse)
3012 pixel.opacity=y_vector[x].opacity+span.y*x_vector[x].opacity;
3013 if (scale_indexes != (IndexPacket *) NULL)
3014 pixel.index=y_vector[x].index+span.y*x_vector[x].index;
3016 s->green=pixel.green;
3018 if (scale_image->matte != MagickFalse)
3019 s->opacity=pixel.opacity;
3020 if (scale_indexes != (IndexPacket *) NULL)
3021 s->index=pixel.index;
3028 scale.y=(double) scale_image->rows/(double) image->rows;
3029 next_row=MagickTrue;
3033 if (scale_image->columns == image->columns)
3036 Transfer scanline to scaled image.
3039 for (x=0; x < (ssize_t) scale_image->columns; x++)
3041 q->red=ClampToQuantum(s->red);
3042 q->green=ClampToQuantum(s->green);
3043 q->blue=ClampToQuantum(s->blue);
3044 if (scale_image->matte != MagickFalse)
3045 q->opacity=ClampToQuantum(s->opacity);
3046 if (scale_indexes != (IndexPacket *) NULL)
3047 scale_indexes[x]=(IndexPacket) ClampToQuantum(s->index);
3058 next_column=MagickFalse;
3062 for (x=0; x < (ssize_t) image->columns; x++)
3064 scale.x=(double) scale_image->columns/(double) image->columns;
3065 while (scale.x >= span.x)
3067 if (next_column != MagickFalse)
3072 pixel.red+=span.x*s->red;
3073 pixel.green+=span.x*s->green;
3074 pixel.blue+=span.x*s->blue;
3075 if (image->matte != MagickFalse)
3076 pixel.opacity+=span.x*s->opacity;
3077 if (scale_indexes != (IndexPacket *) NULL)
3078 pixel.index+=span.x*s->index;
3080 t->green=pixel.green;
3082 if (scale_image->matte != MagickFalse)
3083 t->opacity=pixel.opacity;
3084 if (scale_indexes != (IndexPacket *) NULL)
3085 t->index=pixel.index;
3088 next_column=MagickTrue;
3092 if (next_column != MagickFalse)
3095 next_column=MagickFalse;
3098 pixel.red+=scale.x*s->red;
3099 pixel.green+=scale.x*s->green;
3100 pixel.blue+=scale.x*s->blue;
3101 if (scale_image->matte != MagickFalse)
3102 pixel.opacity+=scale.x*s->opacity;
3103 if (scale_indexes != (IndexPacket *) NULL)
3104 pixel.index+=scale.x*s->index;
3112 pixel.red+=span.x*s->red;
3113 pixel.green+=span.x*s->green;
3114 pixel.blue+=span.x*s->blue;
3115 if (scale_image->matte != MagickFalse)
3116 pixel.opacity+=span.x*s->opacity;
3117 if (scale_indexes != (IndexPacket *) NULL)
3118 pixel.index+=span.x*s->index;
3120 if ((next_column == MagickFalse) &&
3121 ((ssize_t) (t-scale_scanline) < (ssize_t) scale_image->columns))
3124 t->green=pixel.green;
3126 if (scale_image->matte != MagickFalse)
3127 t->opacity=pixel.opacity;
3128 if (scale_indexes != (IndexPacket *) NULL)
3129 t->index=pixel.index;
3132 Transfer scanline to scaled image.
3135 for (x=0; x < (ssize_t) scale_image->columns; x++)
3137 q->red=ClampToQuantum(t->red);
3138 q->green=ClampToQuantum(t->green);
3139 q->blue=ClampToQuantum(t->blue);
3140 if (scale_image->matte != MagickFalse)
3141 q->opacity=ClampToQuantum(t->opacity);
3142 if (scale_indexes != (IndexPacket *) NULL)
3143 scale_indexes[x]=(IndexPacket) ClampToQuantum(t->index);
3148 if (SyncCacheViewAuthenticPixels(scale_view,exception) == MagickFalse)
3150 proceed=SetImageProgress(image,ScaleImageTag,(MagickOffsetType) y,
3152 if (proceed == MagickFalse)
3155 scale_view=DestroyCacheView(scale_view);
3156 image_view=DestroyCacheView(image_view);
3158 Free allocated memory.
3160 y_vector=(MagickPixelPacket *) RelinquishMagickMemory(y_vector);
3161 scale_scanline=(MagickPixelPacket *) RelinquishMagickMemory(scale_scanline);
3162 if (scale_image->rows != image->rows)
3163 scanline=(MagickPixelPacket *) RelinquishMagickMemory(scanline);
3164 x_vector=(MagickPixelPacket *) RelinquishMagickMemory(x_vector);
3165 scale_image->type=image->type;
3166 return(scale_image);
3170 THIS IS NOT USED -- to be removed
3172 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3176 + S e t R e s i z e F i l t e r S u p p o r t %
3180 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3182 % SetResizeFilterSupport() specifies which IR filter to use to window
3184 % The format of the SetResizeFilterSupport method is:
3186 % void SetResizeFilterSupport(ResizeFilter *resize_filter,
3187 % const MagickRealType support)
3189 % A description of each parameter follows:
3191 % o resize_filter: the resize filter.
3193 % o support: the filter spport radius.
3196 MagickExport void SetResizeFilterSupport(ResizeFilter *resize_filter,
3197 const MagickRealType support)
3199 assert(resize_filter != (ResizeFilter *) NULL);
3200 assert(resize_filter->signature == MagickSignature);
3201 resize_filter->support=support;
3206 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3210 % T h u m b n a i l I m a g e %
3214 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3216 % ThumbnailImage() changes the size of an image to the given dimensions and
3217 % removes any associated profiles. The goal is to produce small low cost
3218 % thumbnail images suited for display on the Web.
3220 % The format of the ThumbnailImage method is:
3222 % Image *ThumbnailImage(const Image *image,const size_t columns,
3223 % const size_t rows,ExceptionInfo *exception)
3225 % A description of each parameter follows:
3227 % o image: the image.
3229 % o columns: the number of columns in the scaled image.
3231 % o rows: the number of rows in the scaled image.
3233 % o exception: return any errors or warnings in this structure.
3236 MagickExport Image *ThumbnailImage(const Image *image,const size_t columns,
3237 const size_t rows,ExceptionInfo *exception)
3239 #define SampleFactor 5
3242 value[MaxTextExtent];
3260 assert(image != (Image *) NULL);
3261 assert(image->signature == MagickSignature);
3262 if (image->debug != MagickFalse)
3263 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
3264 assert(exception != (ExceptionInfo *) NULL);
3265 assert(exception->signature == MagickSignature);
3266 x_factor=(MagickRealType) columns/(MagickRealType) image->columns;
3267 y_factor=(MagickRealType) rows/(MagickRealType) image->rows;
3268 if ((x_factor*y_factor) > 0.1)
3269 thumbnail_image=ResizeImage(image,columns,rows,image->filter,image->blur,
3272 if (((SampleFactor*columns) < 128) || ((SampleFactor*rows) < 128))
3273 thumbnail_image=ResizeImage(image,columns,rows,image->filter,
3274 image->blur,exception);
3280 sample_image=SampleImage(image,SampleFactor*columns,SampleFactor*rows,
3282 if (sample_image == (Image *) NULL)
3283 return((Image *) NULL);
3284 thumbnail_image=ResizeImage(sample_image,columns,rows,image->filter,
3285 image->blur,exception);
3286 sample_image=DestroyImage(sample_image);
3288 if (thumbnail_image == (Image *) NULL)
3289 return(thumbnail_image);
3290 (void) ParseAbsoluteGeometry("0x0+0+0",&thumbnail_image->page);
3291 if (thumbnail_image->matte == MagickFalse)
3292 (void) SetImageAlphaChannel(thumbnail_image,OpaqueAlphaChannel);
3293 thumbnail_image->depth=8;
3294 thumbnail_image->interlace=NoInterlace;
3296 Strip all profiles except color profiles.
3298 ResetImageProfileIterator(thumbnail_image);
3299 for (name=GetNextImageProfile(thumbnail_image); name != (const char *) NULL; )
3301 if ((LocaleCompare(name,"icc") != 0) && (LocaleCompare(name,"icm") != 0))
3303 (void) DeleteImageProfile(thumbnail_image,name);
3304 ResetImageProfileIterator(thumbnail_image);
3306 name=GetNextImageProfile(thumbnail_image);
3308 (void) DeleteImageProperty(thumbnail_image,"comment");
3309 (void) CopyMagickString(value,image->magick_filename,MaxTextExtent);
3310 if (strstr(image->magick_filename,"//") == (char *) NULL)
3311 (void) FormatMagickString(value,MaxTextExtent,"file://%s",
3312 image->magick_filename);
3313 (void) SetImageProperty(thumbnail_image,"Thumb::URI",value);
3314 (void) CopyMagickString(value,image->magick_filename,MaxTextExtent);
3315 if (GetPathAttributes(image->filename,&attributes) != MagickFalse)
3317 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3318 attributes.st_mtime);
3319 (void) SetImageProperty(thumbnail_image,"Thumb::MTime",value);
3321 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3322 attributes.st_mtime);
3323 (void) FormatMagickSize(GetBlobSize(image),MagickFalse,value);
3324 (void) ConcatenateMagickString(value,"B",MaxTextExtent);
3325 (void) SetImageProperty(thumbnail_image,"Thumb::Size",value);
3326 (void) FormatMagickString(value,MaxTextExtent,"image/%s",image->magick);
3328 (void) SetImageProperty(thumbnail_image,"Thumb::Mimetype",value);
3329 (void) SetImageProperty(thumbnail_image,"software",
3330 GetMagickVersion(&version));
3331 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3332 image->magick_columns);
3333 (void) SetImageProperty(thumbnail_image,"Thumb::Image::Width",value);
3334 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3335 image->magick_rows);
3336 (void) SetImageProperty(thumbnail_image,"Thumb::Image::height",value);
3337 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3338 GetImageListLength(image));
3339 (void) SetImageProperty(thumbnail_image,"Thumb::Document::Pages",value);
3340 return(thumbnail_image);