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
724 B,C; /* Cubic spline coefficients, ignored if not a CubicBC
726 } const filters[SentinelFilter] =
728 { Box, 0.5, 0.5, 0.0, 0.0 }, /* Undefined (default to Box) */
729 { Box, 0.0, 0.5, 0.0, 0.0 }, /* Point (special handling) */
730 { Box, 0.5, 0.5, 0.0, 0.0 }, /* Box */
731 { Triangle, 1.0, 1.0, 0.0, 0.0 }, /* Triangle */
732 { CubicBC, 1.0, 1.0, 0.0, 0.0 }, /* Hermite (cubic B=C=0) */
733 { Hanning, 1.0, 1.0, 0.0, 0.0 }, /* Hanning, cosine window */
734 { Hamming, 1.0, 1.0, 0.0, 0.0 }, /* Hamming, '' variation */
735 { Blackman, 1.0, 1.0, 0.0, 0.0 }, /* Blackman, 2*cosine window */
736 { Gaussian, 2.0, 1.5, 0.0, 0.0 }, /* Gaussian */
737 { Quadratic, 1.5, 1.5, 0.0, 0.0 }, /* Quadratic gaussian */
738 { CubicBC, 2.0, 2.0, 1.0, 0.0 }, /* Cubic B-Spline (B=1,C=0) */
739 { CubicBC, 2.0, 1.0, 0.0, 0.5 }, /* Catmull-Rom (B=0,C=1/2) */
740 { CubicBC, 2.0, 1.0, 1./3., 1./3. }, /* Mitchell (B=C=1/3) */
741 { SincFast, 3.0, 1.0, 0.0, 0.0 }, /* Lanczos, 3-lobed Sinc-Sinc */
742 { Jinc, 3.0, 1.21967, 0.0, 0.0 }, /* Raw 3-lobed Jinc */
743 { Sinc, 4.0, 1.0, 0.0, 0.0 }, /* Raw 4-lobed Sinc */
744 { Kaiser, 1.0, 1.0, 0.0, 0.0 }, /* Kaiser (square root window) */
745 { Welsh, 1.0, 1.0, 0.0, 0.0 }, /* Welsh (parabolic window) */
746 { CubicBC, 2.0, 2.0, 1.0, 0.0 }, /* Parzen (B-Spline window) */
747 { Lagrange, 2.0, 1.0, 0.0, 0.0 }, /* Lagrange sinc approximation */
748 { Bohman, 1.0, 1.0, 0.0, 0.0 }, /* Bohman, 2*Cosine window */
749 { Triangle, 1.0, 1.0, 0.0, 0.0 }, /* Bartlett (triangle window) */
750 { SincFast, 4.0, 1.0, 0.0, 0.0 }, /* Raw fast sinc ("Pade"-type) */
751 { Jinc, 2.0, 1.21966989, 0.0, 0.0 }, /* Lanczos2D (Jinc-Jinc) */
752 { Jinc, 2.0, 1.16848499, 0.0, 0.0 }, /* Lanczos2D Sharpened */
753 { CubicBC, 2.0, 1.16848499, 0.37821575509399862, 0.31089212245300069 }
754 /* Robidoux: Keys cubic close to Lanczos2D with blur=0.958033808 */
757 The known zero crossings of the Jinc() or more accurately the Jinc(x*PI)
758 function being used as a filter. It is used by the "filter:lobes" and for
759 the 'lobes' number in the above, the for support selection, so users do
760 not have to deal with the highly irrational sizes of the 'lobes' of the
764 http://cose.math.bas.bg/webMathematica/webComputing/BesselZeros.jsp
765 using Jv-function with v=1, then dividing by PI.
767 static MagickRealType
789 Allocate resize filter.
791 assert(image != (const Image *) NULL);
792 assert(image->signature == MagickSignature);
793 if (image->debug != MagickFalse)
794 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
795 assert(UndefinedFilter < filter && filter < SentinelFilter);
796 assert(exception != (ExceptionInfo *) NULL);
797 assert(exception->signature == MagickSignature);
798 resize_filter=(ResizeFilter *) AcquireMagickMemory(sizeof(*resize_filter));
799 if (resize_filter == (ResizeFilter *) NULL)
800 ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
802 Defaults for the requested filter.
804 filter_type=mapping[filter].filter;
805 window_type=mapping[filter].window;
806 resize_filter->blur = blur;
808 /* Cylindrical Filters should use Jinc instead of Sinc */
809 if (cylindrical != MagickFalse)
813 /* Promote 1D Sinc Filter to a 2D Jinc filter. */
814 if ( filter != SincFilter )
815 filter_type=JincFilter;
818 /* Ditto for SincFast variant */
819 if ( filter != SincFastFilter )
820 filter_type=JincFilter;
823 /* Promote Lanczos from a Sinc-Sinc to a Jinc-Jinc. */
824 filter_type=JincFilter;
825 window_type=JincFilter;
827 case Lanczos2DSharpFilter:
828 /* Sharpened by Nicholas Robidoux so as to optimize for
829 * minimal blurring of orthogonal lines
831 resize_filter->blur *= 0.958033808;
834 sigma = (MagickRealType) (MagickSQ2/2.0); /* Cylindrical Gaussian sigma is sqrt(2)/2 */
842 case Lanczos2DFilter:
843 case Lanczos2DSharpFilter:
844 /* Demote to a 2-lobe Sinc-Sinc for orthogonal use. */
845 window_type=SincFastFilter;
851 artifact=GetImageArtifact(image,"filter:filter");
852 if (artifact != (const char *) NULL)
854 option=ParseMagickOption(MagickFilterOptions,MagickFalse,artifact);
855 if ((UndefinedFilter < option) && (option < SentinelFilter))
856 { /* Raw filter request - no window function. */
857 filter_type=(FilterTypes) option;
858 window_type=BoxFilter;
860 if (option == LanczosFilter)
861 { /* Lanczos is not a real filter but a self windowing Sinc/Jinc. */
862 filter_type=cylindrical != MagickFalse ? JincFilter : LanczosFilter;
863 window_type=cylindrical != MagickFalse ? JincFilter : SincFastFilter;
865 /* Filter override with a specific window function. */
866 artifact=GetImageArtifact(image,"filter:window");
867 if (artifact != (const char *) NULL)
869 option=ParseMagickOption(MagickFilterOptions,MagickFalse,artifact);
870 if ((UndefinedFilter < option) && (option < SentinelFilter))
872 if (option != LanczosFilter)
873 window_type=(FilterTypes) option;
875 window_type=cylindrical != MagickFalse ? JincFilter :
882 /* Window specified, but no filter function? Assume Sinc/Jinc. */
883 artifact=GetImageArtifact(image,"filter:window");
884 if (artifact != (const char *) NULL)
886 option=ParseMagickOption(MagickFilterOptions,MagickFalse,
888 if ((UndefinedFilter < option) && (option < SentinelFilter))
890 filter_type=cylindrical != MagickFalse ?
891 JincFilter : SincFastFilter;
892 window_type=(FilterTypes) option;
896 /* Assign the real functions to use for the filters selected. */
897 resize_filter->filter=filters[filter_type].function;
898 resize_filter->support=filters[filter_type].lobes;
899 resize_filter->window=filters[window_type].function;
900 resize_filter->scale=filters[window_type].scale;
901 resize_filter->signature=MagickSignature;
903 /* Filter Modifications for orthogonal/cylindrical usage */
904 if (cylindrical != MagickFalse)
909 /* Support for Cylindrical Box should be sqrt(2)/2 */
910 resize_filter->support=(MagickRealType) MagickSQ1_2;
918 case Lanczos2DFilter:
919 case Lanczos2DSharpFilter:
920 /* Demote to a 2-lobe Lanczos (Sinc-Sinc) for orthogonal use. */
921 resize_filter->filter=SincFast;
928 ** More Expert Option Modifications
931 /* User Sigma Override - no support change */
932 artifact=GetImageArtifact(image,"filter:sigma");
933 if (artifact != (const char *) NULL)
934 sigma=StringToDouble(artifact);
935 /* Define coefficents for Gaussian (assumes no cubic window) */
936 if ( GaussianFilter ) {
937 resize_filter->coeff[0] = 1.0/(2.0*sigma*sigma);
938 resize_filter->coeff[1] = (MagickRealType) (1.0/(Magick2PI*sigma*sigma)); /* unused */
942 artifact=GetImageArtifact(image,"filter:blur");
943 if (artifact != (const char *) NULL)
944 resize_filter->blur=StringToDouble(artifact);
945 if (resize_filter->blur < MagickEpsilon)
946 resize_filter->blur=(MagickRealType) MagickEpsilon;
948 /* Support Overrides */
949 artifact=GetImageArtifact(image,"filter:lobes");
950 if (artifact != (const char *) NULL)
955 lobes=(ssize_t) StringToLong(artifact);
958 resize_filter->support=(MagickRealType) lobes;
960 /* convert Jinc lobes to a real support value */
961 if (resize_filter->filter == Jinc)
963 if (resize_filter->support > 16)
964 resize_filter->support=jinc_zeros[15]; /* largest entry in table */
966 resize_filter->support = jinc_zeros[((long)resize_filter->support)-1];
968 /* expert override of the support setting */
969 artifact=GetImageArtifact(image,"filter:support");
970 if (artifact != (const char *) NULL)
971 resize_filter->support=fabs(StringToDouble(artifact));
973 Scale windowing function separatally to the support 'clipping'
974 window that calling operator is planning to actually use. (Expert
977 resize_filter->window_support=resize_filter->support; /* default */
978 artifact=GetImageArtifact(image,"filter:win-support");
979 if (artifact != (const char *) NULL)
980 resize_filter->window_support=fabs(StringToDouble(artifact));
982 Adjust window function scaling to the windowing support for
983 weighting function. This avoids a division on every filter call.
985 resize_filter->scale /= resize_filter->window_support;
988 * Set Cubic Spline B,C values, calculate Cubic coefficients.
992 if ((filters[filter_type].function == CubicBC) ||
993 (filters[window_type].function == CubicBC))
995 B=filters[filter_type].B;
996 C=filters[filter_type].C;
997 if (filters[window_type].function == CubicBC)
999 B=filters[window_type].B;
1000 C=filters[window_type].C;
1002 artifact=GetImageArtifact(image,"filter:b");
1003 if (artifact != (const char *) NULL)
1005 B=StringToDouble(artifact);
1006 C=(1.0-B)/2.0; /* Calculate C as if it is a Keys cubic filter. */
1007 artifact=GetImageArtifact(image,"filter:c"); /* user C override */
1008 if (artifact != (const char *) NULL)
1009 C=StringToDouble(artifact);
1013 artifact=GetImageArtifact(image,"filter:c");
1014 if (artifact != (const char *) NULL)
1016 C=StringToDouble(artifact);
1017 B=1.0-2.0*C; /* Calculate B as if it is a Keys cubic filter. */
1020 /* Convert B,C values into Cubic Coefficents. See CubicBC(). */
1021 resize_filter->coeff[0]=(6.0-2.0*B)/6.0;
1022 resize_filter->coeff[1]=0.0;
1023 resize_filter->coeff[2]=(-18.0+12.0*B+6.0*C)/6.0;
1024 resize_filter->coeff[3]=(12.0-9.0*B-6.0*C)/6.0;
1025 resize_filter->coeff[4]=(8.0*B+24.0*C)/6.0;
1026 resize_filter->coeff[5]=(-12.0*B-48.0*C)/6.0;
1027 resize_filter->coeff[6]=(6.0*B+30.0*C)/6.0;
1028 resize_filter->coeff[7]=(-B-6.0*C)/6.0;
1032 Expert Option Request for verbose details of the resulting filter.
1034 #if defined(MAGICKCORE_OPENMP_SUPPORT)
1038 artifact=GetImageArtifact(image,"filter:verbose");
1039 if (artifact != (const char *) NULL)
1046 Set the weighting function properly when the weighting
1047 function may not exactly match the filter of the same name.
1048 EG: a Point filter really uses a Box weighting function
1049 with a different support than is typically used.
1052 if (resize_filter->filter == Box) filter_type=BoxFilter;
1053 if (resize_filter->filter == Sinc) filter_type=SincFilter;
1054 if (resize_filter->filter == SincFast) filter_type=SincFastFilter;
1055 if (resize_filter->filter == Jinc) filter_type=JincFilter;
1056 if (resize_filter->filter == CubicBC) filter_type=CubicFilter;
1058 Report Filter Details.
1060 support=GetResizeFilterSupport(resize_filter); /* practical_support */
1061 (void) fprintf(stdout,"# Resize Filter (for graphing)\n#\n");
1062 (void) fprintf(stdout,"# filter = %s\n",MagickOptionToMnemonic(
1063 MagickFilterOptions,filter_type));
1064 (void) fprintf(stdout,"# window = %s\n",MagickOptionToMnemonic(
1065 MagickFilterOptions, window_type));
1066 (void) fprintf(stdout,"# support = %.*g\n",GetMagickPrecision(),
1067 (double) resize_filter->support);
1068 (void) fprintf(stdout,"# win-support = %.*g\n",GetMagickPrecision(),
1069 (double) resize_filter->window_support);
1070 (void) fprintf(stdout,"# scale_blur = %.*g\n",GetMagickPrecision(),
1071 (double) resize_filter->blur);
1072 if ( filter_type == GaussianFilter )
1073 (void) fprintf(stdout,"# gaussian_sigma = %.*g\n",GetMagickPrecision(),
1075 (void) fprintf(stdout,"# practical_support = %.*g\n",GetMagickPrecision(),
1077 if ( filter_type == CubicFilter || window_type == CubicFilter )
1078 (void) fprintf(stdout,"# B,C = %.*g,%.*g\n",GetMagickPrecision(),
1079 (double) B,GetMagickPrecision(),(double) C);
1080 (void) fprintf(stdout,"\n");
1082 Output values of resulting filter graph -- for graphing
1085 for (x=0.0; x <= support; x+=0.01f)
1086 (void) fprintf(stdout,"%5.2lf\t%.*g\n",x,GetMagickPrecision(),
1087 (double) GetResizeFilterWeight(resize_filter,x));
1088 /* A final value so gnuplot can graph the 'stop' properly. */
1089 (void) fprintf(stdout,"%5.2lf\t%.*g\n",support,GetMagickPrecision(),
1092 /* Output the above once only for each image - remove setting */
1093 (void) DeleteImageArtifact((Image *) image,"filter:verbose");
1094 #if defined(MAGICKCORE_OPENMP_SUPPORT)
1097 return(resize_filter);
1101 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1105 % A d a p t i v e R e s i z e I m a g e %
1109 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1111 % AdaptiveResizeImage() adaptively resize image with pixel resampling.
1113 % The format of the AdaptiveResizeImage method is:
1115 % Image *AdaptiveResizeImage(const Image *image,const size_t columns,
1116 % const size_t rows,ExceptionInfo *exception)
1118 % A description of each parameter follows:
1120 % o image: the image.
1122 % o columns: the number of columns in the resized image.
1124 % o rows: the number of rows in the resized image.
1126 % o exception: return any errors or warnings in this structure.
1129 MagickExport Image *AdaptiveResizeImage(const Image *image,
1130 const size_t columns,const size_t rows,ExceptionInfo *exception)
1132 #define AdaptiveResizeImageTag "Resize/Image"
1156 Adaptively resize image.
1158 assert(image != (const Image *) NULL);
1159 assert(image->signature == MagickSignature);
1160 if (image->debug != MagickFalse)
1161 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1162 assert(exception != (ExceptionInfo *) NULL);
1163 assert(exception->signature == MagickSignature);
1164 if ((columns == 0) || (rows == 0))
1165 return((Image *) NULL);
1166 if ((columns == image->columns) && (rows == image->rows))
1167 return(CloneImage(image,0,0,MagickTrue,exception));
1168 resize_image=CloneImage(image,columns,rows,MagickTrue,exception);
1169 if (resize_image == (Image *) NULL)
1170 return((Image *) NULL);
1171 if (SetImageStorageClass(resize_image,DirectClass) == MagickFalse)
1173 InheritException(exception,&resize_image->exception);
1174 resize_image=DestroyImage(resize_image);
1175 return((Image *) NULL);
1177 GetMagickPixelPacket(image,&pixel);
1178 resample_filter=AcquireResampleFilter(image,exception);
1179 (void) SetResampleFilter(resample_filter,PointFilter,1.0);
1180 (void) SetResampleFilterInterpolateMethod(resample_filter,
1181 MeshInterpolatePixel);
1182 resize_view=AcquireCacheView(resize_image);
1183 for (y=0; y < (ssize_t) resize_image->rows; y++)
1185 register IndexPacket
1186 *restrict resize_indexes;
1191 register PixelPacket
1194 q=QueueCacheViewAuthenticPixels(resize_view,0,y,resize_image->columns,1,
1196 if (q == (PixelPacket *) NULL)
1198 resize_indexes=GetCacheViewAuthenticIndexQueue(resize_view);
1199 offset.y=((MagickRealType) y*image->rows/resize_image->rows);
1200 for (x=0; x < (ssize_t) resize_image->columns; x++)
1202 offset.x=((MagickRealType) x*image->columns/resize_image->columns);
1203 (void) ResamplePixelColor(resample_filter,offset.x-0.5,offset.y-0.5,
1205 SetPixelPacket(resize_image,&pixel,q,resize_indexes+x);
1208 if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
1210 proceed=SetImageProgress(image,AdaptiveResizeImageTag,(MagickOffsetType) y,
1212 if (proceed == MagickFalse)
1215 resample_filter=DestroyResampleFilter(resample_filter);
1216 resize_view=DestroyCacheView(resize_view);
1217 return(resize_image);
1221 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1225 + B e s s e l O r d e r O n e %
1229 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1231 % BesselOrderOne() computes the Bessel function of x of the first kind of
1232 % order 0. This is used to create the Jinc() filter function below.
1234 % Reduce x to |x| since j1(x)= -j1(-x), and for x in (0,8]
1240 % j1(x) = sqrt(2/(pi*x))*(p1(x)*cos(x1)-q1(x)*sin(x1))
1242 % where x1 = x-3*pi/4. Compute sin(x1) and cos(x1) as follow:
1244 % cos(x1) = cos(x)cos(3pi/4)+sin(x)sin(3pi/4)
1245 % = 1/sqrt(2) * (sin(x) - cos(x))
1246 % sin(x1) = sin(x)cos(3pi/4)-cos(x)sin(3pi/4)
1247 % = -1/sqrt(2) * (sin(x) + cos(x))
1249 % The format of the BesselOrderOne method is:
1251 % MagickRealType BesselOrderOne(MagickRealType x)
1253 % A description of each parameter follows:
1255 % o x: MagickRealType value.
1260 static MagickRealType I0(MagickRealType x)
1271 Zeroth order Bessel function of the first kind.
1276 for (i=2; t > MagickEpsilon; i++)
1279 t*=y/((MagickRealType) i*i);
1285 static MagickRealType J1(MagickRealType x)
1297 0.581199354001606143928050809e+21,
1298 -0.6672106568924916298020941484e+20,
1299 0.2316433580634002297931815435e+19,
1300 -0.3588817569910106050743641413e+17,
1301 0.2908795263834775409737601689e+15,
1302 -0.1322983480332126453125473247e+13,
1303 0.3413234182301700539091292655e+10,
1304 -0.4695753530642995859767162166e+7,
1305 0.270112271089232341485679099e+4
1309 0.11623987080032122878585294e+22,
1310 0.1185770712190320999837113348e+20,
1311 0.6092061398917521746105196863e+17,
1312 0.2081661221307607351240184229e+15,
1313 0.5243710262167649715406728642e+12,
1314 0.1013863514358673989967045588e+10,
1315 0.1501793594998585505921097578e+7,
1316 0.1606931573481487801970916749e+4,
1322 for (i=7; i >= 0; i--)
1331 static MagickRealType P1(MagickRealType x)
1343 0.352246649133679798341724373e+5,
1344 0.62758845247161281269005675e+5,
1345 0.313539631109159574238669888e+5,
1346 0.49854832060594338434500455e+4,
1347 0.2111529182853962382105718e+3,
1348 0.12571716929145341558495e+1
1352 0.352246649133679798068390431e+5,
1353 0.626943469593560511888833731e+5,
1354 0.312404063819041039923015703e+5,
1355 0.4930396490181088979386097e+4,
1356 0.2030775189134759322293574e+3,
1362 for (i=4; i >= 0; i--)
1364 p=p*(8.0/x)*(8.0/x)+Pone[i];
1365 q=q*(8.0/x)*(8.0/x)+Qone[i];
1371 static MagickRealType Q1(MagickRealType x)
1383 0.3511751914303552822533318e+3,
1384 0.7210391804904475039280863e+3,
1385 0.4259873011654442389886993e+3,
1386 0.831898957673850827325226e+2,
1387 0.45681716295512267064405e+1,
1388 0.3532840052740123642735e-1
1392 0.74917374171809127714519505e+4,
1393 0.154141773392650970499848051e+5,
1394 0.91522317015169922705904727e+4,
1395 0.18111867005523513506724158e+4,
1396 0.1038187585462133728776636e+3,
1402 for (i=4; i >= 0; i--)
1404 p=p*(8.0/x)*(8.0/x)+Pone[i];
1405 q=q*(8.0/x)*(8.0/x)+Qone[i];
1410 static MagickRealType BesselOrderOne(MagickRealType x)
1423 q=sqrt((double) (2.0/(MagickPI*x)))*(P1(x)*(1.0/sqrt(2.0)*(sin((double) x)-
1424 cos((double) x)))-8.0/x*Q1(x)*(-1.0/sqrt(2.0)*(sin((double) x)+
1432 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1436 + D e s t r o y R e s i z e F i l t e r %
1440 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1442 % DestroyResizeFilter() destroy the resize filter.
1444 % The format of the DestroyResizeFilter method is:
1446 % ResizeFilter *DestroyResizeFilter(ResizeFilter *resize_filter)
1448 % A description of each parameter follows:
1450 % o resize_filter: the resize filter.
1453 MagickExport ResizeFilter *DestroyResizeFilter(ResizeFilter *resize_filter)
1455 assert(resize_filter != (ResizeFilter *) NULL);
1456 assert(resize_filter->signature == MagickSignature);
1457 resize_filter->signature=(~MagickSignature);
1458 resize_filter=(ResizeFilter *) RelinquishMagickMemory(resize_filter);
1459 return(resize_filter);
1463 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1467 + G e t R e s i z e F i l t e r S u p p o r t %
1471 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1473 % GetResizeFilterSupport() return the current support window size for this
1474 % filter. Note that this may have been enlarged by filter:blur factor.
1476 % The format of the GetResizeFilterSupport method is:
1478 % MagickRealType GetResizeFilterSupport(const ResizeFilter *resize_filter)
1480 % A description of each parameter follows:
1482 % o filter: Image filter to use.
1485 MagickExport MagickRealType GetResizeFilterSupport(
1486 const ResizeFilter *resize_filter)
1488 assert(resize_filter != (ResizeFilter *) NULL);
1489 assert(resize_filter->signature == MagickSignature);
1490 return(resize_filter->support*resize_filter->blur);
1494 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1498 + G e t R e s i z e F i l t e r W e i g h t %
1502 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1504 % GetResizeFilterWeight evaluates the specified resize filter at the point x
1505 % which usally lies between zero and the filters current 'support' and
1506 % returns the weight of the filter function at that point.
1508 % The format of the GetResizeFilterWeight method is:
1510 % MagickRealType GetResizeFilterWeight(const ResizeFilter *resize_filter,
1511 % const MagickRealType x)
1513 % A description of each parameter follows:
1515 % o filter: the filter type.
1520 MagickExport MagickRealType GetResizeFilterWeight(
1521 const ResizeFilter *resize_filter,const MagickRealType x)
1528 Windowing function - scale the weighting filter by this amount.
1530 assert(resize_filter != (ResizeFilter *) NULL);
1531 assert(resize_filter->signature == MagickSignature);
1532 x_blur=fabs((double) x)/resize_filter->blur; /* X offset with blur scaling */
1533 if ((resize_filter->window_support < MagickEpsilon) ||
1534 (resize_filter->window == Box))
1535 scale=1.0; /* Point or Box Filter -- avoid division by zero */
1538 scale=resize_filter->scale;
1539 scale=resize_filter->window(x_blur*scale,resize_filter);
1541 return(scale*resize_filter->filter(x_blur,resize_filter));
1545 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1549 % M a g n i f y I m a g e %
1553 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1555 % MagnifyImage() is a convenience method that scales an image proportionally
1556 % to twice its size.
1558 % The format of the MagnifyImage method is:
1560 % Image *MagnifyImage(const Image *image,ExceptionInfo *exception)
1562 % A description of each parameter follows:
1564 % o image: the image.
1566 % o exception: return any errors or warnings in this structure.
1569 MagickExport Image *MagnifyImage(const Image *image,ExceptionInfo *exception)
1574 assert(image != (Image *) NULL);
1575 assert(image->signature == MagickSignature);
1576 if (image->debug != MagickFalse)
1577 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1578 assert(exception != (ExceptionInfo *) NULL);
1579 assert(exception->signature == MagickSignature);
1580 magnify_image=ResizeImage(image,2*image->columns,2*image->rows,CubicFilter,
1582 return(magnify_image);
1586 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1590 % M i n i f y I m a g e %
1594 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1596 % MinifyImage() is a convenience method that scales an image proportionally
1599 % The format of the MinifyImage method is:
1601 % Image *MinifyImage(const Image *image,ExceptionInfo *exception)
1603 % A description of each parameter follows:
1605 % o image: the image.
1607 % o exception: return any errors or warnings in this structure.
1610 MagickExport Image *MinifyImage(const Image *image,ExceptionInfo *exception)
1615 assert(image != (Image *) NULL);
1616 assert(image->signature == MagickSignature);
1617 if (image->debug != MagickFalse)
1618 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1619 assert(exception != (ExceptionInfo *) NULL);
1620 assert(exception->signature == MagickSignature);
1621 minify_image=ResizeImage(image,image->columns/2,image->rows/2,CubicFilter,
1623 return(minify_image);
1627 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1631 % R e s a m p l e I m a g e %
1635 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1637 % ResampleImage() resize image in terms of its pixel size, so that when
1638 % displayed at the given resolution it will be the same size in terms of
1639 % real world units as the original image at the original resolution.
1641 % The format of the ResampleImage method is:
1643 % Image *ResampleImage(Image *image,const double x_resolution,
1644 % const double y_resolution,const FilterTypes filter,const double blur,
1645 % ExceptionInfo *exception)
1647 % A description of each parameter follows:
1649 % o image: the image to be resized to fit the given resolution.
1651 % o x_resolution: the new image x resolution.
1653 % o y_resolution: the new image y resolution.
1655 % o filter: Image filter to use.
1657 % o blur: the blur factor where > 1 is blurry, < 1 is sharp.
1660 MagickExport Image *ResampleImage(const Image *image,const double x_resolution,
1661 const double y_resolution,const FilterTypes filter,const double blur,
1662 ExceptionInfo *exception)
1664 #define ResampleImageTag "Resample/Image"
1674 Initialize sampled image attributes.
1676 assert(image != (const Image *) NULL);
1677 assert(image->signature == MagickSignature);
1678 if (image->debug != MagickFalse)
1679 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1680 assert(exception != (ExceptionInfo *) NULL);
1681 assert(exception->signature == MagickSignature);
1682 width=(size_t) (x_resolution*image->columns/(image->x_resolution == 0.0 ?
1683 72.0 : image->x_resolution)+0.5);
1684 height=(size_t) (y_resolution*image->rows/(image->y_resolution == 0.0 ?
1685 72.0 : image->y_resolution)+0.5);
1686 resample_image=ResizeImage(image,width,height,filter,blur,exception);
1687 if (resample_image != (Image *) NULL)
1689 resample_image->x_resolution=x_resolution;
1690 resample_image->y_resolution=y_resolution;
1692 return(resample_image);
1694 #if defined(MAGICKCORE_LQR_DELEGATE)
1697 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1701 % L i q u i d R e s c a l e I m a g e %
1705 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1707 % LiquidRescaleImage() rescales image with seam carving.
1709 % The format of the LiquidRescaleImage method is:
1711 % Image *LiquidRescaleImage(const Image *image,
1712 % const size_t columns,const size_t rows,
1713 % const double delta_x,const double rigidity,ExceptionInfo *exception)
1715 % A description of each parameter follows:
1717 % o image: the image.
1719 % o columns: the number of columns in the rescaled image.
1721 % o rows: the number of rows in the rescaled image.
1723 % o delta_x: maximum seam transversal step (0 means straight seams).
1725 % o rigidity: introduce a bias for non-straight seams (typically 0).
1727 % o exception: return any errors or warnings in this structure.
1730 MagickExport Image *LiquidRescaleImage(const Image *image,const size_t columns,
1731 const size_t rows,const double delta_x,const double rigidity,
1732 ExceptionInfo *exception)
1734 #define LiquidRescaleImageTag "Rescale/Image"
1768 Liquid rescale image.
1770 assert(image != (const Image *) NULL);
1771 assert(image->signature == MagickSignature);
1772 if (image->debug != MagickFalse)
1773 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1774 assert(exception != (ExceptionInfo *) NULL);
1775 assert(exception->signature == MagickSignature);
1776 if ((columns == 0) || (rows == 0))
1777 return((Image *) NULL);
1778 if ((columns == image->columns) && (rows == image->rows))
1779 return(CloneImage(image,0,0,MagickTrue,exception));
1780 if ((columns <= 2) || (rows <= 2))
1781 return(ResizeImage(image,columns,rows,image->filter,image->blur,exception));
1782 if ((columns >= (2*image->columns)) || (rows >= (2*image->rows)))
1792 Honor liquid resize size limitations.
1794 for (width=image->columns; columns >= (2*width-1); width*=2);
1795 for (height=image->rows; rows >= (2*height-1); height*=2);
1796 resize_image=ResizeImage(image,width,height,image->filter,image->blur,
1798 if (resize_image == (Image *) NULL)
1799 return((Image *) NULL);
1800 rescale_image=LiquidRescaleImage(resize_image,columns,rows,delta_x,
1801 rigidity,exception);
1802 resize_image=DestroyImage(resize_image);
1803 return(rescale_image);
1806 if (image->matte == MagickFalse)
1808 if (image->colorspace == CMYKColorspace)
1811 if (image->matte == MagickFalse)
1814 pixels=(unsigned char *) AcquireQuantumMemory(image->columns,image->rows*
1815 strlen(map)*sizeof(*pixels));
1816 if (pixels == (unsigned char *) NULL)
1817 return((Image *) NULL);
1818 status=ExportImagePixels(image,0,0,image->columns,image->rows,map,CharPixel,
1820 if (status == MagickFalse)
1822 pixels=(unsigned char *) RelinquishMagickMemory(pixels);
1823 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
1825 carver=lqr_carver_new(pixels,image->columns,image->rows,strlen(map));
1826 if (carver == (LqrCarver *) NULL)
1828 pixels=(unsigned char *) RelinquishMagickMemory(pixels);
1829 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
1831 lqr_status=lqr_carver_init(carver,(int) delta_x,rigidity);
1832 lqr_status=lqr_carver_resize(carver,columns,rows);
1833 rescale_image=CloneImage(image,lqr_carver_get_width(carver),
1834 lqr_carver_get_height(carver),MagickTrue,exception);
1835 if (rescale_image == (Image *) NULL)
1837 pixels=(unsigned char *) RelinquishMagickMemory(pixels);
1838 return((Image *) NULL);
1840 if (SetImageStorageClass(rescale_image,DirectClass) == MagickFalse)
1842 InheritException(exception,&rescale_image->exception);
1843 rescale_image=DestroyImage(rescale_image);
1844 return((Image *) NULL);
1846 GetMagickPixelPacket(rescale_image,&pixel);
1847 (void) lqr_carver_scan_reset(carver);
1848 rescale_view=AcquireCacheView(rescale_image);
1849 while (lqr_carver_scan(carver,&x,&y,&packet) != 0)
1851 register IndexPacket
1852 *restrict rescale_indexes;
1854 register PixelPacket
1857 q=QueueCacheViewAuthenticPixels(rescale_view,x,y,1,1,exception);
1858 if (q == (PixelPacket *) NULL)
1860 rescale_indexes=GetCacheViewAuthenticIndexQueue(rescale_view);
1861 pixel.red=QuantumRange*(packet[0]/255.0);
1862 pixel.green=QuantumRange*(packet[1]/255.0);
1863 pixel.blue=QuantumRange*(packet[2]/255.0);
1864 if (image->colorspace != CMYKColorspace)
1866 if (image->matte == MagickFalse)
1867 pixel.opacity=QuantumRange*(packet[3]/255.0);
1871 pixel.index=QuantumRange*(packet[3]/255.0);
1872 if (image->matte == MagickFalse)
1873 pixel.opacity=QuantumRange*(packet[4]/255.0);
1875 SetPixelPacket(rescale_image,&pixel,q,rescale_indexes);
1876 if (SyncCacheViewAuthenticPixels(rescale_view,exception) == MagickFalse)
1879 rescale_view=DestroyCacheView(rescale_view);
1881 Relinquish resources.
1883 lqr_carver_destroy(carver);
1884 return(rescale_image);
1887 MagickExport Image *LiquidRescaleImage(const Image *image,
1888 const size_t magick_unused(columns),const size_t magick_unused(rows),
1889 const double magick_unused(delta_x),const double magick_unused(rigidity),
1890 ExceptionInfo *exception)
1892 assert(image != (const Image *) NULL);
1893 assert(image->signature == MagickSignature);
1894 if (image->debug != MagickFalse)
1895 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1896 assert(exception != (ExceptionInfo *) NULL);
1897 assert(exception->signature == MagickSignature);
1898 (void) ThrowMagickException(exception,GetMagickModule(),MissingDelegateError,
1899 "DelegateLibrarySupportNotBuiltIn","`%s' (LQR)",image->filename);
1900 return((Image *) NULL);
1905 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1909 % R e s i z e I m a g e %
1913 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1915 % ResizeImage() scales an image to the desired dimensions, using the given
1916 % filter (see AcquireFilterInfo()).
1918 % If an undefined filter is given the filter defaults to Mitchell for a
1919 % colormapped image, a image with a matte channel, or if the image is
1920 % enlarged. Otherwise the filter defaults to a Lanczos.
1922 % ResizeImage() was inspired by Paul Heckbert's "zoom" program.
1924 % The format of the ResizeImage method is:
1926 % Image *ResizeImage(Image *image,const size_t columns,
1927 % const size_t rows,const FilterTypes filter,const double blur,
1928 % ExceptionInfo *exception)
1930 % A description of each parameter follows:
1932 % o image: the image.
1934 % o columns: the number of columns in the scaled image.
1936 % o rows: the number of rows in the scaled image.
1938 % o filter: Image filter to use.
1940 % o blur: the blur factor where > 1 is blurry, < 1 is sharp. Typically set
1943 % o exception: return any errors or warnings in this structure.
1947 typedef struct _ContributionInfo
1956 static ContributionInfo **DestroyContributionThreadSet(
1957 ContributionInfo **contribution)
1962 assert(contribution != (ContributionInfo **) NULL);
1963 for (i=0; i < (ssize_t) GetOpenMPMaximumThreads(); i++)
1964 if (contribution[i] != (ContributionInfo *) NULL)
1965 contribution[i]=(ContributionInfo *) RelinquishMagickMemory(
1967 contribution=(ContributionInfo **) RelinquishMagickMemory(contribution);
1968 return(contribution);
1971 static ContributionInfo **AcquireContributionThreadSet(const size_t count)
1982 number_threads=GetOpenMPMaximumThreads();
1983 contribution=(ContributionInfo **) AcquireQuantumMemory(number_threads,
1984 sizeof(*contribution));
1985 if (contribution == (ContributionInfo **) NULL)
1986 return((ContributionInfo **) NULL);
1987 (void) ResetMagickMemory(contribution,0,number_threads*sizeof(*contribution));
1988 for (i=0; i < (ssize_t) number_threads; i++)
1990 contribution[i]=(ContributionInfo *) AcquireQuantumMemory(count,
1991 sizeof(**contribution));
1992 if (contribution[i] == (ContributionInfo *) NULL)
1993 return(DestroyContributionThreadSet(contribution));
1995 return(contribution);
1998 static inline double MagickMax(const double x,const double y)
2005 static inline double MagickMin(const double x,const double y)
2012 static MagickBooleanType HorizontalFilter(const ResizeFilter *resize_filter,
2013 const Image *image,Image *resize_image,const MagickRealType x_factor,
2014 const MagickSizeType span,MagickOffsetType *offset,ExceptionInfo *exception)
2016 #define ResizeImageTag "Resize/Image"
2026 **restrict contributions;
2042 Apply filter to resize horizontally from image to resize image.
2044 scale=MagickMax(1.0/x_factor+MagickEpsilon,1.0);
2045 support=scale*GetResizeFilterSupport(resize_filter);
2046 storage_class=support > 0.5 ? DirectClass : image->storage_class;
2047 if (SetImageStorageClass(resize_image,storage_class) == MagickFalse)
2049 InheritException(exception,&resize_image->exception);
2050 return(MagickFalse);
2055 Support too small even for nearest neighbour: Reduce to point
2058 support=(MagickRealType) 0.5;
2061 contributions=AcquireContributionThreadSet((size_t) (2.0*support+3.0));
2062 if (contributions == (ContributionInfo **) NULL)
2064 (void) ThrowMagickException(exception,GetMagickModule(),
2065 ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
2066 return(MagickFalse);
2070 (void) ResetMagickMemory(&zero,0,sizeof(zero));
2071 image_view=AcquireCacheView(image);
2072 resize_view=AcquireCacheView(resize_image);
2073 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2074 #pragma omp parallel for shared(status)
2076 for (x=0; x < (ssize_t) resize_image->columns; x++)
2082 register const IndexPacket
2085 register const PixelPacket
2088 register ContributionInfo
2089 *restrict contribution;
2091 register IndexPacket
2092 *restrict resize_indexes;
2094 register PixelPacket
2105 if (status == MagickFalse)
2107 center=(MagickRealType) (x+0.5)/x_factor;
2108 start=(ssize_t) MagickMax(center-support+0.5,0.0);
2109 stop=(ssize_t) MagickMin(center+support+0.5,(double) image->columns);
2111 contribution=contributions[GetOpenMPThreadId()];
2112 for (n=0; n < (stop-start); n++)
2114 contribution[n].pixel=start+n;
2115 contribution[n].weight=GetResizeFilterWeight(resize_filter,scale*
2116 ((MagickRealType) (start+n)-center+0.5));
2117 density+=contribution[n].weight;
2119 if ((density != 0.0) && (density != 1.0))
2127 density=1.0/density;
2128 for (i=0; i < n; i++)
2129 contribution[i].weight*=density;
2131 p=GetCacheViewVirtualPixels(image_view,contribution[0].pixel,0,(size_t)
2132 (contribution[n-1].pixel-contribution[0].pixel+1),image->rows,exception);
2133 q=QueueCacheViewAuthenticPixels(resize_view,x,0,1,resize_image->rows,
2135 if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
2140 indexes=GetCacheViewVirtualIndexQueue(image_view);
2141 resize_indexes=GetCacheViewAuthenticIndexQueue(resize_view);
2142 for (y=0; y < (ssize_t) resize_image->rows; y++)
2157 if (image->matte == MagickFalse)
2159 for (i=0; i < n; i++)
2161 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2162 (contribution[i].pixel-contribution[0].pixel);
2163 alpha=contribution[i].weight;
2164 pixel.red+=alpha*(p+j)->red;
2165 pixel.green+=alpha*(p+j)->green;
2166 pixel.blue+=alpha*(p+j)->blue;
2167 pixel.opacity+=alpha*(p+j)->opacity;
2169 SetRedPixelComponent(q,ClampRedPixelComponent(&pixel));
2170 SetGreenPixelComponent(q,ClampGreenPixelComponent(&pixel));
2171 SetBluePixelComponent(q,ClampBluePixelComponent(&pixel));
2172 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2173 if ((image->colorspace == CMYKColorspace) &&
2174 (resize_image->colorspace == CMYKColorspace))
2176 for (i=0; i < n; i++)
2178 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2179 (contribution[i].pixel-contribution[0].pixel);
2180 alpha=contribution[i].weight;
2181 pixel.index+=alpha*indexes[j];
2183 resize_indexes[y]=(IndexPacket) ClampToQuantum(pixel.index);
2192 for (i=0; i < n; i++)
2194 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2195 (contribution[i].pixel-contribution[0].pixel);
2196 alpha=contribution[i].weight*QuantumScale*
2197 GetAlphaPixelComponent(p+j);
2198 pixel.red+=alpha*(p+j)->red;
2199 pixel.green+=alpha*(p+j)->green;
2200 pixel.blue+=alpha*(p+j)->blue;
2201 pixel.opacity+=contribution[i].weight*(p+j)->opacity;
2204 gamma=1.0/(fabs((double) gamma) <= MagickEpsilon ? 1.0 : gamma);
2205 q->red=ClampToQuantum(gamma*GetRedPixelComponent(&pixel));
2206 q->green=ClampToQuantum(gamma*GetGreenPixelComponent(&pixel));
2207 q->blue=ClampToQuantum(gamma*GetBluePixelComponent(&pixel));
2208 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2209 if ((image->colorspace == CMYKColorspace) &&
2210 (resize_image->colorspace == CMYKColorspace))
2212 for (i=0; i < n; i++)
2214 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2215 (contribution[i].pixel-contribution[0].pixel);
2216 alpha=contribution[i].weight*QuantumScale*
2217 GetAlphaPixelComponent(p+j);
2218 pixel.index+=alpha*indexes[j];
2220 resize_indexes[y]=(IndexPacket) ClampToQuantum(gamma*
2221 GetIndexPixelComponent(&pixel));
2224 if ((resize_image->storage_class == PseudoClass) &&
2225 (image->storage_class == PseudoClass))
2227 i=(ssize_t) (MagickMin(MagickMax(center,(double) start),(double) stop-
2229 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2230 (contribution[i-start].pixel-contribution[0].pixel);
2231 resize_indexes[y]=indexes[j];
2235 if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
2237 if (image->progress_monitor != (MagickProgressMonitor) NULL)
2242 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2243 #pragma omp critical (MagickCore_HorizontalFilter)
2245 proceed=SetImageProgress(image,ResizeImageTag,(*offset)++,span);
2246 if (proceed == MagickFalse)
2250 resize_view=DestroyCacheView(resize_view);
2251 image_view=DestroyCacheView(image_view);
2252 contributions=DestroyContributionThreadSet(contributions);
2256 static MagickBooleanType VerticalFilter(const ResizeFilter *resize_filter,
2257 const Image *image,Image *resize_image,const MagickRealType y_factor,
2258 const MagickSizeType span,MagickOffsetType *offset,ExceptionInfo *exception)
2268 **restrict contributions;
2284 Apply filter to resize vertically from image to resize image.
2286 scale=MagickMax(1.0/y_factor+MagickEpsilon,1.0);
2287 support=scale*GetResizeFilterSupport(resize_filter);
2288 storage_class=support > 0.5 ? DirectClass : image->storage_class;
2289 if (SetImageStorageClass(resize_image,storage_class) == MagickFalse)
2291 InheritException(exception,&resize_image->exception);
2292 return(MagickFalse);
2297 Support too small even for nearest neighbour: Reduce to point
2300 support=(MagickRealType) 0.5;
2303 contributions=AcquireContributionThreadSet((size_t) (2.0*support+3.0));
2304 if (contributions == (ContributionInfo **) NULL)
2306 (void) ThrowMagickException(exception,GetMagickModule(),
2307 ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
2308 return(MagickFalse);
2312 (void) ResetMagickMemory(&zero,0,sizeof(zero));
2313 image_view=AcquireCacheView(image);
2314 resize_view=AcquireCacheView(resize_image);
2315 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2316 #pragma omp parallel for shared(status)
2318 for (y=0; y < (ssize_t) resize_image->rows; y++)
2324 register const IndexPacket
2327 register const PixelPacket
2330 register ContributionInfo
2331 *restrict contribution;
2333 register IndexPacket
2334 *restrict resize_indexes;
2336 register PixelPacket
2347 if (status == MagickFalse)
2349 center=(MagickRealType) (y+0.5)/y_factor;
2350 start=(ssize_t) MagickMax(center-support+0.5,0.0);
2351 stop=(ssize_t) MagickMin(center+support+0.5,(double) image->rows);
2353 contribution=contributions[GetOpenMPThreadId()];
2354 for (n=0; n < (stop-start); n++)
2356 contribution[n].pixel=start+n;
2357 contribution[n].weight=GetResizeFilterWeight(resize_filter,scale*
2358 ((MagickRealType) (start+n)-center+0.5));
2359 density+=contribution[n].weight;
2361 if ((density != 0.0) && (density != 1.0))
2369 density=1.0/density;
2370 for (i=0; i < n; i++)
2371 contribution[i].weight*=density;
2373 p=GetCacheViewVirtualPixels(image_view,0,contribution[0].pixel,
2374 image->columns,(size_t) (contribution[n-1].pixel-contribution[0].pixel+1),
2376 q=QueueCacheViewAuthenticPixels(resize_view,0,y,resize_image->columns,1,
2378 if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
2383 indexes=GetCacheViewVirtualIndexQueue(image_view);
2384 resize_indexes=GetCacheViewAuthenticIndexQueue(resize_view);
2385 for (x=0; x < (ssize_t) resize_image->columns; x++)
2400 if (image->matte == MagickFalse)
2402 for (i=0; i < n; i++)
2404 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2406 alpha=contribution[i].weight;
2407 pixel.red+=alpha*(p+j)->red;
2408 pixel.green+=alpha*(p+j)->green;
2409 pixel.blue+=alpha*(p+j)->blue;
2410 pixel.opacity+=alpha*(p+j)->opacity;
2412 SetRedPixelComponent(q,ClampRedPixelComponent(&pixel));
2413 SetGreenPixelComponent(q,ClampGreenPixelComponent(&pixel));
2414 SetBluePixelComponent(q,ClampBluePixelComponent(&pixel));
2415 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2416 if ((image->colorspace == CMYKColorspace) &&
2417 (resize_image->colorspace == CMYKColorspace))
2419 for (i=0; i < n; i++)
2421 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2423 alpha=contribution[i].weight;
2424 pixel.index+=alpha*indexes[j];
2426 resize_indexes[x]=(IndexPacket) ClampToQuantum(pixel.index);
2435 for (i=0; i < n; i++)
2437 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2439 alpha=contribution[i].weight*QuantumScale*
2440 GetAlphaPixelComponent(p+j);
2441 pixel.red+=alpha*(p+j)->red;
2442 pixel.green+=alpha*(p+j)->green;
2443 pixel.blue+=alpha*(p+j)->blue;
2444 pixel.opacity+=contribution[i].weight*(p+j)->opacity;
2447 gamma=1.0/(fabs((double) gamma) <= MagickEpsilon ? 1.0 : gamma);
2448 q->red=ClampToQuantum(gamma*GetRedPixelComponent(&pixel));
2449 q->green=ClampToQuantum(gamma*GetGreenPixelComponent(&pixel));
2450 q->blue=ClampToQuantum(gamma*GetBluePixelComponent(&pixel));
2451 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2452 if ((image->colorspace == CMYKColorspace) &&
2453 (resize_image->colorspace == CMYKColorspace))
2455 for (i=0; i < n; i++)
2457 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2459 alpha=contribution[i].weight*QuantumScale*
2460 GetAlphaPixelComponent(p+j);
2461 pixel.index+=alpha*indexes[j];
2463 resize_indexes[x]=(IndexPacket) ClampToQuantum(gamma*
2464 GetIndexPixelComponent(&pixel));
2467 if ((resize_image->storage_class == PseudoClass) &&
2468 (image->storage_class == PseudoClass))
2470 i=(ssize_t) (MagickMin(MagickMax(center,(double) start),(double) stop-
2472 j=(ssize_t) ((contribution[i-start].pixel-contribution[0].pixel)*
2474 resize_indexes[x]=indexes[j];
2478 if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
2480 if (image->progress_monitor != (MagickProgressMonitor) NULL)
2485 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2486 #pragma omp critical (MagickCore_VerticalFilter)
2488 proceed=SetImageProgress(image,ResizeImageTag,(*offset)++,span);
2489 if (proceed == MagickFalse)
2493 resize_view=DestroyCacheView(resize_view);
2494 image_view=DestroyCacheView(image_view);
2495 contributions=DestroyContributionThreadSet(contributions);
2499 MagickExport Image *ResizeImage(const Image *image,const size_t columns,
2500 const size_t rows,const FilterTypes filter,const double blur,
2501 ExceptionInfo *exception)
2503 #define WorkLoadFactor 0.265
2529 Acquire resize image.
2531 assert(image != (Image *) NULL);
2532 assert(image->signature == MagickSignature);
2533 if (image->debug != MagickFalse)
2534 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
2535 assert(exception != (ExceptionInfo *) NULL);
2536 assert(exception->signature == MagickSignature);
2537 if ((columns == 0) || (rows == 0))
2538 ThrowImageException(ImageError,"NegativeOrZeroImageSize");
2539 if ((columns == image->columns) && (rows == image->rows) &&
2540 (filter == UndefinedFilter) && (blur == 1.0))
2541 return(CloneImage(image,0,0,MagickTrue,exception));
2542 resize_image=CloneImage(image,columns,rows,MagickTrue,exception);
2543 if (resize_image == (Image *) NULL)
2544 return(resize_image);
2546 Acquire resize filter.
2548 x_factor=(MagickRealType) columns/(MagickRealType) image->columns;
2549 y_factor=(MagickRealType) rows/(MagickRealType) image->rows;
2550 if ((x_factor*y_factor) > WorkLoadFactor)
2551 filter_image=CloneImage(image,columns,image->rows,MagickTrue,exception);
2553 filter_image=CloneImage(image,image->columns,rows,MagickTrue,exception);
2554 if (filter_image == (Image *) NULL)
2555 return(DestroyImage(resize_image));
2556 filter_type=LanczosFilter;
2557 if (filter != UndefinedFilter)
2560 if ((x_factor == 1.0) && (y_factor == 1.0))
2561 filter_type=PointFilter;
2563 if ((image->storage_class == PseudoClass) ||
2564 (image->matte != MagickFalse) || ((x_factor*y_factor) > 1.0))
2565 filter_type=MitchellFilter;
2566 resize_filter=AcquireResizeFilter(image,filter_type,blur,MagickFalse,
2572 if ((x_factor*y_factor) > WorkLoadFactor)
2574 span=(MagickSizeType) (filter_image->columns+rows);
2575 status=HorizontalFilter(resize_filter,image,filter_image,x_factor,span,
2577 status&=VerticalFilter(resize_filter,filter_image,resize_image,y_factor,
2578 span,&offset,exception);
2582 span=(MagickSizeType) (filter_image->rows+columns);
2583 status=VerticalFilter(resize_filter,image,filter_image,y_factor,span,
2585 status&=HorizontalFilter(resize_filter,filter_image,resize_image,x_factor,
2586 span,&offset,exception);
2591 filter_image=DestroyImage(filter_image);
2592 resize_filter=DestroyResizeFilter(resize_filter);
2593 if ((status == MagickFalse) || (resize_image == (Image *) NULL))
2594 return((Image *) NULL);
2595 resize_image->type=image->type;
2596 return(resize_image);
2600 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2604 % S a m p l e I m a g e %
2608 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2610 % SampleImage() scales an image to the desired dimensions with pixel
2611 % sampling. Unlike other scaling methods, this method does not introduce
2612 % any additional color into the scaled image.
2614 % The format of the SampleImage method is:
2616 % Image *SampleImage(const Image *image,const size_t columns,
2617 % const size_t rows,ExceptionInfo *exception)
2619 % A description of each parameter follows:
2621 % o image: the image.
2623 % o columns: the number of columns in the sampled image.
2625 % o rows: the number of rows in the sampled image.
2627 % o exception: return any errors or warnings in this structure.
2630 MagickExport Image *SampleImage(const Image *image,const size_t columns,
2631 const size_t rows,ExceptionInfo *exception)
2633 #define SampleImageTag "Sample/Image"
2656 Initialize sampled image attributes.
2658 assert(image != (const Image *) NULL);
2659 assert(image->signature == MagickSignature);
2660 if (image->debug != MagickFalse)
2661 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
2662 assert(exception != (ExceptionInfo *) NULL);
2663 assert(exception->signature == MagickSignature);
2664 if ((columns == 0) || (rows == 0))
2665 ThrowImageException(ImageError,"NegativeOrZeroImageSize");
2666 if ((columns == image->columns) && (rows == image->rows))
2667 return(CloneImage(image,0,0,MagickTrue,exception));
2668 sample_image=CloneImage(image,columns,rows,MagickTrue,exception);
2669 if (sample_image == (Image *) NULL)
2670 return((Image *) NULL);
2672 Allocate scan line buffer and column offset buffers.
2674 x_offset=(ssize_t *) AcquireQuantumMemory((size_t) sample_image->columns,
2676 if (x_offset == (ssize_t *) NULL)
2678 sample_image=DestroyImage(sample_image);
2679 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
2681 for (x=0; x < (ssize_t) sample_image->columns; x++)
2682 x_offset[x]=(ssize_t) (((MagickRealType) x+0.5)*image->columns/
2683 sample_image->columns);
2689 image_view=AcquireCacheView(image);
2690 sample_view=AcquireCacheView(sample_image);
2691 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2692 #pragma omp parallel for schedule(dynamic,4) shared(progress,status)
2694 for (y=0; y < (ssize_t) sample_image->rows; y++)
2696 register const IndexPacket
2699 register const PixelPacket
2702 register IndexPacket
2703 *restrict sample_indexes;
2705 register PixelPacket
2714 if (status == MagickFalse)
2716 y_offset=(ssize_t) (((MagickRealType) y+0.5)*image->rows/
2717 sample_image->rows);
2718 p=GetCacheViewVirtualPixels(image_view,0,y_offset,image->columns,1,
2720 q=QueueCacheViewAuthenticPixels(sample_view,0,y,sample_image->columns,1,
2722 if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
2727 indexes=GetCacheViewAuthenticIndexQueue(image_view);
2728 sample_indexes=GetCacheViewAuthenticIndexQueue(sample_view);
2732 for (x=0; x < (ssize_t) sample_image->columns; x++)
2733 *q++=p[x_offset[x]];
2734 if ((image->storage_class == PseudoClass) ||
2735 (image->colorspace == CMYKColorspace))
2736 for (x=0; x < (ssize_t) sample_image->columns; x++)
2737 sample_indexes[x]=indexes[x_offset[x]];
2738 if (SyncCacheViewAuthenticPixels(sample_view,exception) == MagickFalse)
2740 if (image->progress_monitor != (MagickProgressMonitor) NULL)
2745 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2746 #pragma omp critical (MagickCore_SampleImage)
2748 proceed=SetImageProgress(image,SampleImageTag,progress++,image->rows);
2749 if (proceed == MagickFalse)
2753 image_view=DestroyCacheView(image_view);
2754 sample_view=DestroyCacheView(sample_view);
2755 x_offset=(ssize_t *) RelinquishMagickMemory(x_offset);
2756 sample_image->type=image->type;
2757 return(sample_image);
2761 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2765 % S c a l e I m a g e %
2769 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2771 % ScaleImage() changes the size of an image to the given dimensions.
2773 % The format of the ScaleImage method is:
2775 % Image *ScaleImage(const Image *image,const size_t columns,
2776 % const size_t rows,ExceptionInfo *exception)
2778 % A description of each parameter follows:
2780 % o image: the image.
2782 % o columns: the number of columns in the scaled image.
2784 % o rows: the number of rows in the scaled image.
2786 % o exception: return any errors or warnings in this structure.
2789 MagickExport Image *ScaleImage(const Image *image,const size_t columns,
2790 const size_t rows,ExceptionInfo *exception)
2792 #define ScaleImageTag "Scale/Image"
2826 Initialize scaled image attributes.
2828 assert(image != (const Image *) NULL);
2829 assert(image->signature == MagickSignature);
2830 if (image->debug != MagickFalse)
2831 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
2832 assert(exception != (ExceptionInfo *) NULL);
2833 assert(exception->signature == MagickSignature);
2834 if ((columns == 0) || (rows == 0))
2835 return((Image *) NULL);
2836 if ((columns == image->columns) && (rows == image->rows))
2837 return(CloneImage(image,0,0,MagickTrue,exception));
2838 scale_image=CloneImage(image,columns,rows,MagickTrue,exception);
2839 if (scale_image == (Image *) NULL)
2840 return((Image *) NULL);
2841 if (SetImageStorageClass(scale_image,DirectClass) == MagickFalse)
2843 InheritException(exception,&scale_image->exception);
2844 scale_image=DestroyImage(scale_image);
2845 return((Image *) NULL);
2850 x_vector=(MagickPixelPacket *) AcquireQuantumMemory((size_t) image->columns,
2853 if (image->rows != scale_image->rows)
2854 scanline=(MagickPixelPacket *) AcquireQuantumMemory((size_t) image->columns,
2856 scale_scanline=(MagickPixelPacket *) AcquireQuantumMemory((size_t)
2857 scale_image->columns,sizeof(*scale_scanline));
2858 y_vector=(MagickPixelPacket *) AcquireQuantumMemory((size_t) image->columns,
2860 if ((scanline == (MagickPixelPacket *) NULL) ||
2861 (scale_scanline == (MagickPixelPacket *) NULL) ||
2862 (x_vector == (MagickPixelPacket *) NULL) ||
2863 (y_vector == (MagickPixelPacket *) NULL))
2865 scale_image=DestroyImage(scale_image);
2866 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
2872 next_row=MagickTrue;
2874 scale.y=(double) scale_image->rows/(double) image->rows;
2875 (void) ResetMagickMemory(y_vector,0,(size_t) image->columns*
2877 GetMagickPixelPacket(image,&pixel);
2878 (void) ResetMagickMemory(&zero,0,sizeof(zero));
2880 image_view=AcquireCacheView(image);
2881 scale_view=AcquireCacheView(scale_image);
2882 for (y=0; y < (ssize_t) scale_image->rows; y++)
2884 register const IndexPacket
2887 register const PixelPacket
2890 register IndexPacket
2891 *restrict scale_indexes;
2893 register MagickPixelPacket
2897 register PixelPacket
2903 q=QueueCacheViewAuthenticPixels(scale_view,0,y,scale_image->columns,1,
2905 if (q == (PixelPacket *) NULL)
2907 scale_indexes=GetAuthenticIndexQueue(scale_image);
2908 if (scale_image->rows == image->rows)
2911 Read a new scanline.
2913 p=GetCacheViewVirtualPixels(image_view,0,i++,image->columns,1,
2915 if (p == (const PixelPacket *) NULL)
2917 indexes=GetCacheViewVirtualIndexQueue(image_view);
2918 for (x=0; x < (ssize_t) image->columns; x++)
2920 x_vector[x].red=(MagickRealType) GetRedPixelComponent(p);
2921 x_vector[x].green=(MagickRealType) GetGreenPixelComponent(p);
2922 x_vector[x].blue=(MagickRealType) GetBluePixelComponent(p);
2923 if (image->matte != MagickFalse)
2924 x_vector[x].opacity=(MagickRealType) GetOpacityPixelComponent(p);
2925 if (indexes != (IndexPacket *) NULL)
2926 x_vector[x].index=(MagickRealType) indexes[x];
2935 while (scale.y < span.y)
2937 if ((next_row != MagickFalse) &&
2938 (number_rows < (ssize_t) image->rows))
2941 Read a new scanline.
2943 p=GetCacheViewVirtualPixels(image_view,0,i++,image->columns,1,
2945 if (p == (const PixelPacket *) NULL)
2947 indexes=GetCacheViewVirtualIndexQueue(image_view);
2948 for (x=0; x < (ssize_t) image->columns; x++)
2950 x_vector[x].red=(MagickRealType) GetRedPixelComponent(p);
2951 x_vector[x].green=(MagickRealType) GetGreenPixelComponent(p);
2952 x_vector[x].blue=(MagickRealType) GetBluePixelComponent(p);
2953 if (image->matte != MagickFalse)
2954 x_vector[x].opacity=(MagickRealType)
2955 GetOpacityPixelComponent(p);
2956 if (indexes != (IndexPacket *) NULL)
2957 x_vector[x].index=(MagickRealType) indexes[x];
2962 for (x=0; x < (ssize_t) image->columns; x++)
2964 y_vector[x].red+=scale.y*x_vector[x].red;
2965 y_vector[x].green+=scale.y*x_vector[x].green;
2966 y_vector[x].blue+=scale.y*x_vector[x].blue;
2967 if (scale_image->matte != MagickFalse)
2968 y_vector[x].opacity+=scale.y*x_vector[x].opacity;
2969 if (scale_indexes != (IndexPacket *) NULL)
2970 y_vector[x].index+=scale.y*x_vector[x].index;
2973 scale.y=(double) scale_image->rows/(double) image->rows;
2974 next_row=MagickTrue;
2976 if ((next_row != MagickFalse) && (number_rows < (ssize_t) image->rows))
2979 Read a new scanline.
2981 p=GetCacheViewVirtualPixels(image_view,0,i++,image->columns,1,
2983 if (p == (const PixelPacket *) NULL)
2985 indexes=GetCacheViewVirtualIndexQueue(image_view);
2986 for (x=0; x < (ssize_t) image->columns; x++)
2988 x_vector[x].red=(MagickRealType) GetRedPixelComponent(p);
2989 x_vector[x].green=(MagickRealType) GetGreenPixelComponent(p);
2990 x_vector[x].blue=(MagickRealType) GetBluePixelComponent(p);
2991 if (image->matte != MagickFalse)
2992 x_vector[x].opacity=(MagickRealType)
2993 GetOpacityPixelComponent(p);
2994 if (indexes != (IndexPacket *) NULL)
2995 x_vector[x].index=(MagickRealType) indexes[x];
2999 next_row=MagickFalse;
3002 for (x=0; x < (ssize_t) image->columns; x++)
3004 pixel.red=y_vector[x].red+span.y*x_vector[x].red;
3005 pixel.green=y_vector[x].green+span.y*x_vector[x].green;
3006 pixel.blue=y_vector[x].blue+span.y*x_vector[x].blue;
3007 if (image->matte != MagickFalse)
3008 pixel.opacity=y_vector[x].opacity+span.y*x_vector[x].opacity;
3009 if (scale_indexes != (IndexPacket *) NULL)
3010 pixel.index=y_vector[x].index+span.y*x_vector[x].index;
3012 s->green=pixel.green;
3014 if (scale_image->matte != MagickFalse)
3015 s->opacity=pixel.opacity;
3016 if (scale_indexes != (IndexPacket *) NULL)
3017 s->index=pixel.index;
3024 scale.y=(double) scale_image->rows/(double) image->rows;
3025 next_row=MagickTrue;
3029 if (scale_image->columns == image->columns)
3032 Transfer scanline to scaled image.
3035 for (x=0; x < (ssize_t) scale_image->columns; x++)
3037 q->red=ClampToQuantum(s->red);
3038 q->green=ClampToQuantum(s->green);
3039 q->blue=ClampToQuantum(s->blue);
3040 if (scale_image->matte != MagickFalse)
3041 q->opacity=ClampToQuantum(s->opacity);
3042 if (scale_indexes != (IndexPacket *) NULL)
3043 scale_indexes[x]=(IndexPacket) ClampToQuantum(s->index);
3054 next_column=MagickFalse;
3058 for (x=0; x < (ssize_t) image->columns; x++)
3060 scale.x=(double) scale_image->columns/(double) image->columns;
3061 while (scale.x >= span.x)
3063 if (next_column != MagickFalse)
3068 pixel.red+=span.x*s->red;
3069 pixel.green+=span.x*s->green;
3070 pixel.blue+=span.x*s->blue;
3071 if (image->matte != MagickFalse)
3072 pixel.opacity+=span.x*s->opacity;
3073 if (scale_indexes != (IndexPacket *) NULL)
3074 pixel.index+=span.x*s->index;
3076 t->green=pixel.green;
3078 if (scale_image->matte != MagickFalse)
3079 t->opacity=pixel.opacity;
3080 if (scale_indexes != (IndexPacket *) NULL)
3081 t->index=pixel.index;
3084 next_column=MagickTrue;
3088 if (next_column != MagickFalse)
3091 next_column=MagickFalse;
3094 pixel.red+=scale.x*s->red;
3095 pixel.green+=scale.x*s->green;
3096 pixel.blue+=scale.x*s->blue;
3097 if (scale_image->matte != MagickFalse)
3098 pixel.opacity+=scale.x*s->opacity;
3099 if (scale_indexes != (IndexPacket *) NULL)
3100 pixel.index+=scale.x*s->index;
3108 pixel.red+=span.x*s->red;
3109 pixel.green+=span.x*s->green;
3110 pixel.blue+=span.x*s->blue;
3111 if (scale_image->matte != MagickFalse)
3112 pixel.opacity+=span.x*s->opacity;
3113 if (scale_indexes != (IndexPacket *) NULL)
3114 pixel.index+=span.x*s->index;
3116 if ((next_column == MagickFalse) &&
3117 ((ssize_t) (t-scale_scanline) < (ssize_t) scale_image->columns))
3120 t->green=pixel.green;
3122 if (scale_image->matte != MagickFalse)
3123 t->opacity=pixel.opacity;
3124 if (scale_indexes != (IndexPacket *) NULL)
3125 t->index=pixel.index;
3128 Transfer scanline to scaled image.
3131 for (x=0; x < (ssize_t) scale_image->columns; x++)
3133 q->red=ClampToQuantum(t->red);
3134 q->green=ClampToQuantum(t->green);
3135 q->blue=ClampToQuantum(t->blue);
3136 if (scale_image->matte != MagickFalse)
3137 q->opacity=ClampToQuantum(t->opacity);
3138 if (scale_indexes != (IndexPacket *) NULL)
3139 scale_indexes[x]=(IndexPacket) ClampToQuantum(t->index);
3144 if (SyncCacheViewAuthenticPixels(scale_view,exception) == MagickFalse)
3146 proceed=SetImageProgress(image,ScaleImageTag,(MagickOffsetType) y,
3148 if (proceed == MagickFalse)
3151 scale_view=DestroyCacheView(scale_view);
3152 image_view=DestroyCacheView(image_view);
3154 Free allocated memory.
3156 y_vector=(MagickPixelPacket *) RelinquishMagickMemory(y_vector);
3157 scale_scanline=(MagickPixelPacket *) RelinquishMagickMemory(scale_scanline);
3158 if (scale_image->rows != image->rows)
3159 scanline=(MagickPixelPacket *) RelinquishMagickMemory(scanline);
3160 x_vector=(MagickPixelPacket *) RelinquishMagickMemory(x_vector);
3161 scale_image->type=image->type;
3162 return(scale_image);
3166 THIS IS NOT USED -- to be removed
3168 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3172 + S e t R e s i z e F i l t e r S u p p o r t %
3176 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3178 % SetResizeFilterSupport() specifies which IR filter to use to window
3180 % The format of the SetResizeFilterSupport method is:
3182 % void SetResizeFilterSupport(ResizeFilter *resize_filter,
3183 % const MagickRealType support)
3185 % A description of each parameter follows:
3187 % o resize_filter: the resize filter.
3189 % o support: the filter spport radius.
3192 MagickExport void SetResizeFilterSupport(ResizeFilter *resize_filter,
3193 const MagickRealType support)
3195 assert(resize_filter != (ResizeFilter *) NULL);
3196 assert(resize_filter->signature == MagickSignature);
3197 resize_filter->support=support;
3202 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3206 % T h u m b n a i l I m a g e %
3210 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3212 % ThumbnailImage() changes the size of an image to the given dimensions and
3213 % removes any associated profiles. The goal is to produce small low cost
3214 % thumbnail images suited for display on the Web.
3216 % The format of the ThumbnailImage method is:
3218 % Image *ThumbnailImage(const Image *image,const size_t columns,
3219 % const size_t rows,ExceptionInfo *exception)
3221 % A description of each parameter follows:
3223 % o image: the image.
3225 % o columns: the number of columns in the scaled image.
3227 % o rows: the number of rows in the scaled image.
3229 % o exception: return any errors or warnings in this structure.
3232 MagickExport Image *ThumbnailImage(const Image *image,const size_t columns,
3233 const size_t rows,ExceptionInfo *exception)
3235 #define SampleFactor 5
3238 value[MaxTextExtent];
3256 assert(image != (Image *) NULL);
3257 assert(image->signature == MagickSignature);
3258 if (image->debug != MagickFalse)
3259 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
3260 assert(exception != (ExceptionInfo *) NULL);
3261 assert(exception->signature == MagickSignature);
3262 x_factor=(MagickRealType) columns/(MagickRealType) image->columns;
3263 y_factor=(MagickRealType) rows/(MagickRealType) image->rows;
3264 if ((x_factor*y_factor) > 0.1)
3265 thumbnail_image=ResizeImage(image,columns,rows,image->filter,image->blur,
3268 if (((SampleFactor*columns) < 128) || ((SampleFactor*rows) < 128))
3269 thumbnail_image=ResizeImage(image,columns,rows,image->filter,
3270 image->blur,exception);
3276 sample_image=SampleImage(image,SampleFactor*columns,SampleFactor*rows,
3278 if (sample_image == (Image *) NULL)
3279 return((Image *) NULL);
3280 thumbnail_image=ResizeImage(sample_image,columns,rows,image->filter,
3281 image->blur,exception);
3282 sample_image=DestroyImage(sample_image);
3284 if (thumbnail_image == (Image *) NULL)
3285 return(thumbnail_image);
3286 (void) ParseAbsoluteGeometry("0x0+0+0",&thumbnail_image->page);
3287 if (thumbnail_image->matte == MagickFalse)
3288 (void) SetImageAlphaChannel(thumbnail_image,OpaqueAlphaChannel);
3289 thumbnail_image->depth=8;
3290 thumbnail_image->interlace=NoInterlace;
3292 Strip all profiles except color profiles.
3294 ResetImageProfileIterator(thumbnail_image);
3295 for (name=GetNextImageProfile(thumbnail_image); name != (const char *) NULL; )
3297 if ((LocaleCompare(name,"icc") != 0) && (LocaleCompare(name,"icm") != 0))
3299 (void) DeleteImageProfile(thumbnail_image,name);
3300 ResetImageProfileIterator(thumbnail_image);
3302 name=GetNextImageProfile(thumbnail_image);
3304 (void) DeleteImageProperty(thumbnail_image,"comment");
3305 (void) CopyMagickString(value,image->magick_filename,MaxTextExtent);
3306 if (strstr(image->magick_filename,"//") == (char *) NULL)
3307 (void) FormatMagickString(value,MaxTextExtent,"file://%s",
3308 image->magick_filename);
3309 (void) SetImageProperty(thumbnail_image,"Thumb::URI",value);
3310 (void) CopyMagickString(value,image->magick_filename,MaxTextExtent);
3311 if (GetPathAttributes(image->filename,&attributes) != MagickFalse)
3313 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3314 attributes.st_mtime);
3315 (void) SetImageProperty(thumbnail_image,"Thumb::MTime",value);
3317 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3318 attributes.st_mtime);
3319 (void) FormatMagickSize(GetBlobSize(image),MagickFalse,value);
3320 (void) ConcatenateMagickString(value,"B",MaxTextExtent);
3321 (void) SetImageProperty(thumbnail_image,"Thumb::Size",value);
3322 (void) FormatMagickString(value,MaxTextExtent,"image/%s",image->magick);
3324 (void) SetImageProperty(thumbnail_image,"Thumb::Mimetype",value);
3325 (void) SetImageProperty(thumbnail_image,"software",
3326 GetMagickVersion(&version));
3327 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3328 image->magick_columns);
3329 (void) SetImageProperty(thumbnail_image,"Thumb::Image::Width",value);
3330 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3331 image->magick_rows);
3332 (void) SetImageProperty(thumbnail_image,"Thumb::Image::height",value);
3333 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3334 GetImageListLength(image));
3335 (void) SetImageProperty(thumbnail_image,"Thumb::Document::Pages",value);
3336 return(thumbnail_image);