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 function used as a windowing function
722 Typically equal to the location of the first zero crossing. */
723 B,C; /* BC-spline coefficients, ignored if not a CubicBC filter. */
724 } const filters[SentinelFilter] =
726 { Box, 0.5, 0.5, 0.0, 0.0 }, /* Undefined (default to Box) */
727 { Box, 0.0, 0.5, 0.0, 0.0 }, /* Point (special handling) */
728 { Box, 0.5, 0.5, 0.0, 0.0 }, /* Box */
729 { Triangle, 1.0, 1.0, 0.0, 0.0 }, /* Triangle */
730 { CubicBC, 1.0, 1.0, 0.0, 0.0 }, /* Hermite (cubic B=C=0) */
731 { Hanning, 1.0, 1.0, 0.0, 0.0 }, /* Hanning, cosine window */
732 { Hamming, 1.0, 1.0, 0.0, 0.0 }, /* Hamming, '' variation */
733 { Blackman, 1.0, 1.0, 0.0, 0.0 }, /* Blackman, 2*cosine window */
734 { Gaussian, 2.0, 1.5, 0.0, 0.0 }, /* Gaussian */
735 { Quadratic, 1.5, 1.5, 0.0, 0.0 }, /* Quadratic gaussian */
736 { CubicBC, 2.0, 2.0, 1.0, 0.0 }, /* Cubic B-Spline (B=1,C=0) */
737 { CubicBC, 2.0, 1.0, 0.0, 0.5 }, /* Catmull-Rom (B=0,C=1/2) */
738 { CubicBC, 2.0, 1.0, 1./3., 1./3. }, /* Mitchell (B=C=1/3) */
739 { SincFast, 3.0, 1.0, 0.0, 0.0 }, /* Lanczos, 3-lobed Sinc-Sinc */
740 { Jinc, 3.0, 1.2196698912665045, 0.0, 0.0 }, /* Raw 3-lobed Jinc */
741 { Sinc, 4.0, 1.0, 0.0, 0.0 }, /* Raw 4-lobed Sinc */
742 { Kaiser, 1.0, 1.0, 0.0, 0.0 }, /* Kaiser (square root window) */
743 { Welsh, 1.0, 1.0, 0.0, 0.0 }, /* Welsh (parabolic window) */
744 { CubicBC, 2.0, 2.0, 1.0, 0.0 }, /* Parzen (B-Spline window) */
745 { Lagrange, 2.0, 1.0, 0.0, 0.0 }, /* Lagrange sinc approximation */
746 { Bohman, 1.0, 1.0, 0.0, 0.0 }, /* Bohman, 2*Cosine window */
747 { Triangle, 1.0, 1.0, 0.0, 0.0 }, /* Bartlett (triangle window) */
748 { SincFast, 4.0, 1.0, 0.0, 0.0 }, /* Raw fast sinc ("Pade"-type) */
749 { Jinc, 2.0, 1.2196698912665045, 0.0, 0.0 },
750 /* Lanczos2D (Jinc-Jinc) */
751 { Jinc, 2.0, 1.1684849904329952, 0.0, 0.0 },
752 /* Lanczos2D sharpened with blur=0.958033808 */
753 { CubicBC, 2.0, 1.1685777620836932,
754 0.37821575509399867, 0.31089212245300067 }
755 /* Robidoux: Keys cubic close to Lanczos2D sharpened */
758 The known zero crossings of the Jinc() or more accurately the Jinc(x*PI)
759 function being used as a filter. It is used by the "filter:lobes" expert
760 setting and for 'lobes' for Jinc functions in the previous table. This
761 way users do not have to deal with the highly irrational lobe sizes of the
765 http://cose.math.bas.bg/webMathematica/webComputing/BesselZeros.jsp
766 using Jv-function with v=1, then dividing by PI.
768 static MagickRealType
790 Allocate resize filter.
792 assert(image != (const Image *) NULL);
793 assert(image->signature == MagickSignature);
794 if (image->debug != MagickFalse)
795 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
796 assert(UndefinedFilter < filter && filter < SentinelFilter);
797 assert(exception != (ExceptionInfo *) NULL);
798 assert(exception->signature == MagickSignature);
799 resize_filter=(ResizeFilter *) AcquireMagickMemory(sizeof(*resize_filter));
800 if (resize_filter == (ResizeFilter *) NULL)
801 ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
803 Defaults for the requested filter.
805 filter_type=mapping[filter].filter;
806 window_type=mapping[filter].window;
807 resize_filter->blur = blur;
809 /* Cylindrical Filters should use Jinc instead of Sinc */
810 if (cylindrical != MagickFalse)
814 /* Promote 1D Sinc Filter to a 2D Jinc filter. */
815 if ( filter != SincFilter )
816 filter_type=JincFilter;
819 /* Ditto for SincFast variant */
820 if ( filter != SincFastFilter )
821 filter_type=JincFilter;
824 /* Promote Lanczos from a Sinc-Sinc to a Jinc-Jinc. */
825 filter_type=JincFilter;
826 window_type=JincFilter;
828 case Lanczos2DSharpFilter:
829 /* Sharpened by Nicholas Robidoux so as to optimize for
830 * minimal blurring of orthogonal lines
832 resize_filter->blur *= 0.958033808;
835 sigma = (MagickRealType) (MagickSQ2/2.0); /* Cylindrical Gaussian sigma is sqrt(2)/2 */
843 case Lanczos2DFilter:
844 case Lanczos2DSharpFilter:
845 /* Demote to a 2-lobe Sinc-Sinc for orthogonal use. */
846 window_type=SincFastFilter;
852 artifact=GetImageArtifact(image,"filter:filter");
853 if (artifact != (const char *) NULL)
855 option=ParseMagickOption(MagickFilterOptions,MagickFalse,artifact);
856 if ((UndefinedFilter < option) && (option < SentinelFilter))
857 { /* Raw filter request - no window function. */
858 filter_type=(FilterTypes) option;
859 window_type=BoxFilter;
861 if (option == LanczosFilter)
862 { /* Lanczos is not a real filter but a self windowing Sinc/Jinc. */
863 filter_type=cylindrical != MagickFalse ? JincFilter : LanczosFilter;
864 window_type=cylindrical != MagickFalse ? JincFilter : SincFastFilter;
866 /* Filter override with a specific window function. */
867 artifact=GetImageArtifact(image,"filter:window");
868 if (artifact != (const char *) NULL)
870 option=ParseMagickOption(MagickFilterOptions,MagickFalse,artifact);
871 if ((UndefinedFilter < option) && (option < SentinelFilter))
873 if (option != LanczosFilter)
874 window_type=(FilterTypes) option;
876 window_type=cylindrical != MagickFalse ? JincFilter :
883 /* Window specified, but no filter function? Assume Sinc/Jinc. */
884 artifact=GetImageArtifact(image,"filter:window");
885 if (artifact != (const char *) NULL)
887 option=ParseMagickOption(MagickFilterOptions,MagickFalse,
889 if ((UndefinedFilter < option) && (option < SentinelFilter))
891 filter_type=cylindrical != MagickFalse ?
892 JincFilter : SincFastFilter;
893 window_type=(FilterTypes) option;
897 /* Assign the real functions to use for the filters selected. */
898 resize_filter->filter=filters[filter_type].function;
899 resize_filter->support=filters[filter_type].lobes;
900 resize_filter->window=filters[window_type].function;
901 resize_filter->scale=filters[window_type].scale;
902 resize_filter->signature=MagickSignature;
904 /* Filter Modifications for orthogonal/cylindrical usage */
905 if (cylindrical != MagickFalse)
910 /* Support for Cylindrical Box should be sqrt(2)/2 */
911 resize_filter->support=(MagickRealType) MagickSQ1_2;
919 case Lanczos2DFilter:
920 case Lanczos2DSharpFilter:
921 /* Demote to a 2-lobe Lanczos (Sinc-Sinc) for orthogonal use. */
922 resize_filter->filter=SincFast;
929 ** More Expert Option Modifications
932 /* User Sigma Override - no support change */
933 artifact=GetImageArtifact(image,"filter:sigma");
934 if (artifact != (const char *) NULL)
935 sigma=StringToDouble(artifact);
936 /* Define coefficents for Gaussian (assumes no cubic window) */
937 if ( GaussianFilter ) {
938 resize_filter->coeff[0] = 1.0/(2.0*sigma*sigma);
939 resize_filter->coeff[1] = (MagickRealType) (1.0/(Magick2PI*sigma*sigma)); /* unused */
943 artifact=GetImageArtifact(image,"filter:blur");
944 if (artifact != (const char *) NULL)
945 resize_filter->blur=StringToDouble(artifact);
946 if (resize_filter->blur < MagickEpsilon)
947 resize_filter->blur=(MagickRealType) MagickEpsilon;
949 /* Support Overrides */
950 artifact=GetImageArtifact(image,"filter:lobes");
951 if (artifact != (const char *) NULL)
956 lobes=(ssize_t) StringToLong(artifact);
959 resize_filter->support=(MagickRealType) lobes;
961 /* convert Jinc lobes to a real support value */
962 if (resize_filter->filter == Jinc)
964 if (resize_filter->support > 16)
965 resize_filter->support=jinc_zeros[15]; /* largest entry in table */
967 resize_filter->support = jinc_zeros[((long)resize_filter->support)-1];
969 /* expert override of the support setting */
970 artifact=GetImageArtifact(image,"filter:support");
971 if (artifact != (const char *) NULL)
972 resize_filter->support=fabs(StringToDouble(artifact));
974 Scale windowing function separatally to the support 'clipping'
975 window that calling operator is planning to actually use. (Expert
978 resize_filter->window_support=resize_filter->support; /* default */
979 artifact=GetImageArtifact(image,"filter:win-support");
980 if (artifact != (const char *) NULL)
981 resize_filter->window_support=fabs(StringToDouble(artifact));
983 Adjust window function scaling to the windowing support for
984 weighting function. This avoids a division on every filter call.
986 resize_filter->scale /= resize_filter->window_support;
989 * Set Cubic Spline B,C values, calculate Cubic coefficients.
993 if ((filters[filter_type].function == CubicBC) ||
994 (filters[window_type].function == CubicBC))
996 B=filters[filter_type].B;
997 C=filters[filter_type].C;
998 if (filters[window_type].function == CubicBC)
1000 B=filters[window_type].B;
1001 C=filters[window_type].C;
1003 artifact=GetImageArtifact(image,"filter:b");
1004 if (artifact != (const char *) NULL)
1006 B=StringToDouble(artifact);
1007 C=(1.0-B)/2.0; /* Calculate C as if it is a Keys cubic filter. */
1008 artifact=GetImageArtifact(image,"filter:c"); /* user C override */
1009 if (artifact != (const char *) NULL)
1010 C=StringToDouble(artifact);
1014 artifact=GetImageArtifact(image,"filter:c");
1015 if (artifact != (const char *) NULL)
1017 C=StringToDouble(artifact);
1018 B=1.0-2.0*C; /* Calculate B as if it is a Keys cubic filter. */
1021 /* Convert B,C values into Cubic Coefficents. See CubicBC(). */
1022 resize_filter->coeff[0]=(6.0-2.0*B)/6.0;
1023 resize_filter->coeff[1]=0.0;
1024 resize_filter->coeff[2]=(-18.0+12.0*B+6.0*C)/6.0;
1025 resize_filter->coeff[3]=(12.0-9.0*B-6.0*C)/6.0;
1026 resize_filter->coeff[4]=(8.0*B+24.0*C)/6.0;
1027 resize_filter->coeff[5]=(-12.0*B-48.0*C)/6.0;
1028 resize_filter->coeff[6]=(6.0*B+30.0*C)/6.0;
1029 resize_filter->coeff[7]=(-B-6.0*C)/6.0;
1033 Expert Option Request for verbose details of the resulting filter.
1035 #if defined(MAGICKCORE_OPENMP_SUPPORT)
1039 artifact=GetImageArtifact(image,"filter:verbose");
1040 if (artifact != (const char *) NULL)
1047 Set the weighting function properly when the weighting
1048 function may not exactly match the filter of the same name.
1049 EG: a Point filter really uses a Box weighting function
1050 with a different support than is typically used.
1053 if (resize_filter->filter == Box) filter_type=BoxFilter;
1054 if (resize_filter->filter == Sinc) filter_type=SincFilter;
1055 if (resize_filter->filter == SincFast) filter_type=SincFastFilter;
1056 if (resize_filter->filter == Jinc) filter_type=JincFilter;
1057 if (resize_filter->filter == CubicBC) filter_type=CubicFilter;
1059 Report Filter Details.
1061 support=GetResizeFilterSupport(resize_filter); /* practical_support */
1062 (void) fprintf(stdout,"# Resize Filter (for graphing)\n#\n");
1063 (void) fprintf(stdout,"# filter = %s\n",MagickOptionToMnemonic(
1064 MagickFilterOptions,filter_type));
1065 (void) fprintf(stdout,"# window = %s\n",MagickOptionToMnemonic(
1066 MagickFilterOptions, window_type));
1067 (void) fprintf(stdout,"# support = %.*g\n",GetMagickPrecision(),
1068 (double) resize_filter->support);
1069 (void) fprintf(stdout,"# win-support = %.*g\n",GetMagickPrecision(),
1070 (double) resize_filter->window_support);
1071 (void) fprintf(stdout,"# scale_blur = %.*g\n",GetMagickPrecision(),
1072 (double) resize_filter->blur);
1073 if ( filter_type == GaussianFilter )
1074 (void) fprintf(stdout,"# gaussian_sigma = %.*g\n",GetMagickPrecision(),
1076 (void) fprintf(stdout,"# practical_support = %.*g\n",GetMagickPrecision(),
1078 if ( filter_type == CubicFilter || window_type == CubicFilter )
1079 (void) fprintf(stdout,"# B,C = %.*g,%.*g\n",GetMagickPrecision(),
1080 (double) B,GetMagickPrecision(),(double) C);
1081 (void) fprintf(stdout,"\n");
1083 Output values of resulting filter graph -- for graphing
1086 for (x=0.0; x <= support; x+=0.01f)
1087 (void) fprintf(stdout,"%5.2lf\t%.*g\n",x,GetMagickPrecision(),
1088 (double) GetResizeFilterWeight(resize_filter,x));
1089 /* A final value so gnuplot can graph the 'stop' properly. */
1090 (void) fprintf(stdout,"%5.2lf\t%.*g\n",support,GetMagickPrecision(),
1093 /* Output the above once only for each image - remove setting */
1094 (void) DeleteImageArtifact((Image *) image,"filter:verbose");
1095 #if defined(MAGICKCORE_OPENMP_SUPPORT)
1098 return(resize_filter);
1102 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1106 % A d a p t i v e R e s i z e I m a g e %
1110 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1112 % AdaptiveResizeImage() adaptively resize image with pixel resampling.
1114 % The format of the AdaptiveResizeImage method is:
1116 % Image *AdaptiveResizeImage(const Image *image,const size_t columns,
1117 % const size_t rows,ExceptionInfo *exception)
1119 % A description of each parameter follows:
1121 % o image: the image.
1123 % o columns: the number of columns in the resized image.
1125 % o rows: the number of rows in the resized image.
1127 % o exception: return any errors or warnings in this structure.
1130 MagickExport Image *AdaptiveResizeImage(const Image *image,
1131 const size_t columns,const size_t rows,ExceptionInfo *exception)
1133 #define AdaptiveResizeImageTag "Resize/Image"
1157 Adaptively resize image.
1159 assert(image != (const Image *) NULL);
1160 assert(image->signature == MagickSignature);
1161 if (image->debug != MagickFalse)
1162 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1163 assert(exception != (ExceptionInfo *) NULL);
1164 assert(exception->signature == MagickSignature);
1165 if ((columns == 0) || (rows == 0))
1166 return((Image *) NULL);
1167 if ((columns == image->columns) && (rows == image->rows))
1168 return(CloneImage(image,0,0,MagickTrue,exception));
1169 resize_image=CloneImage(image,columns,rows,MagickTrue,exception);
1170 if (resize_image == (Image *) NULL)
1171 return((Image *) NULL);
1172 if (SetImageStorageClass(resize_image,DirectClass) == MagickFalse)
1174 InheritException(exception,&resize_image->exception);
1175 resize_image=DestroyImage(resize_image);
1176 return((Image *) NULL);
1178 GetMagickPixelPacket(image,&pixel);
1179 resample_filter=AcquireResampleFilter(image,exception);
1180 (void) SetResampleFilter(resample_filter,PointFilter,1.0);
1181 (void) SetResampleFilterInterpolateMethod(resample_filter,
1182 MeshInterpolatePixel);
1183 resize_view=AcquireCacheView(resize_image);
1184 for (y=0; y < (ssize_t) resize_image->rows; y++)
1186 register IndexPacket
1187 *restrict resize_indexes;
1192 register PixelPacket
1195 q=QueueCacheViewAuthenticPixels(resize_view,0,y,resize_image->columns,1,
1197 if (q == (PixelPacket *) NULL)
1199 resize_indexes=GetCacheViewAuthenticIndexQueue(resize_view);
1200 offset.y=((MagickRealType) y*image->rows/resize_image->rows);
1201 for (x=0; x < (ssize_t) resize_image->columns; x++)
1203 offset.x=((MagickRealType) x*image->columns/resize_image->columns);
1204 (void) ResamplePixelColor(resample_filter,offset.x-0.5,offset.y-0.5,
1206 SetPixelPacket(resize_image,&pixel,q,resize_indexes+x);
1209 if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
1211 proceed=SetImageProgress(image,AdaptiveResizeImageTag,(MagickOffsetType) y,
1213 if (proceed == MagickFalse)
1216 resample_filter=DestroyResampleFilter(resample_filter);
1217 resize_view=DestroyCacheView(resize_view);
1218 return(resize_image);
1222 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1226 + B e s s e l O r d e r O n e %
1230 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1232 % BesselOrderOne() computes the Bessel function of x of the first kind of
1233 % order 0. This is used to create the Jinc() filter function below.
1235 % Reduce x to |x| since j1(x)= -j1(-x), and for x in (0,8]
1241 % j1(x) = sqrt(2/(pi*x))*(p1(x)*cos(x1)-q1(x)*sin(x1))
1243 % where x1 = x-3*pi/4. Compute sin(x1) and cos(x1) as follow:
1245 % cos(x1) = cos(x)cos(3pi/4)+sin(x)sin(3pi/4)
1246 % = 1/sqrt(2) * (sin(x) - cos(x))
1247 % sin(x1) = sin(x)cos(3pi/4)-cos(x)sin(3pi/4)
1248 % = -1/sqrt(2) * (sin(x) + cos(x))
1250 % The format of the BesselOrderOne method is:
1252 % MagickRealType BesselOrderOne(MagickRealType x)
1254 % A description of each parameter follows:
1256 % o x: MagickRealType value.
1261 static MagickRealType I0(MagickRealType x)
1272 Zeroth order Bessel function of the first kind.
1277 for (i=2; t > MagickEpsilon; i++)
1280 t*=y/((MagickRealType) i*i);
1286 static MagickRealType J1(MagickRealType x)
1298 0.581199354001606143928050809e+21,
1299 -0.6672106568924916298020941484e+20,
1300 0.2316433580634002297931815435e+19,
1301 -0.3588817569910106050743641413e+17,
1302 0.2908795263834775409737601689e+15,
1303 -0.1322983480332126453125473247e+13,
1304 0.3413234182301700539091292655e+10,
1305 -0.4695753530642995859767162166e+7,
1306 0.270112271089232341485679099e+4
1310 0.11623987080032122878585294e+22,
1311 0.1185770712190320999837113348e+20,
1312 0.6092061398917521746105196863e+17,
1313 0.2081661221307607351240184229e+15,
1314 0.5243710262167649715406728642e+12,
1315 0.1013863514358673989967045588e+10,
1316 0.1501793594998585505921097578e+7,
1317 0.1606931573481487801970916749e+4,
1323 for (i=7; i >= 0; i--)
1332 static MagickRealType P1(MagickRealType x)
1344 0.352246649133679798341724373e+5,
1345 0.62758845247161281269005675e+5,
1346 0.313539631109159574238669888e+5,
1347 0.49854832060594338434500455e+4,
1348 0.2111529182853962382105718e+3,
1349 0.12571716929145341558495e+1
1353 0.352246649133679798068390431e+5,
1354 0.626943469593560511888833731e+5,
1355 0.312404063819041039923015703e+5,
1356 0.4930396490181088979386097e+4,
1357 0.2030775189134759322293574e+3,
1363 for (i=4; i >= 0; i--)
1365 p=p*(8.0/x)*(8.0/x)+Pone[i];
1366 q=q*(8.0/x)*(8.0/x)+Qone[i];
1372 static MagickRealType Q1(MagickRealType x)
1384 0.3511751914303552822533318e+3,
1385 0.7210391804904475039280863e+3,
1386 0.4259873011654442389886993e+3,
1387 0.831898957673850827325226e+2,
1388 0.45681716295512267064405e+1,
1389 0.3532840052740123642735e-1
1393 0.74917374171809127714519505e+4,
1394 0.154141773392650970499848051e+5,
1395 0.91522317015169922705904727e+4,
1396 0.18111867005523513506724158e+4,
1397 0.1038187585462133728776636e+3,
1403 for (i=4; i >= 0; i--)
1405 p=p*(8.0/x)*(8.0/x)+Pone[i];
1406 q=q*(8.0/x)*(8.0/x)+Qone[i];
1411 static MagickRealType BesselOrderOne(MagickRealType x)
1424 q=sqrt((double) (2.0/(MagickPI*x)))*(P1(x)*(1.0/sqrt(2.0)*(sin((double) x)-
1425 cos((double) x)))-8.0/x*Q1(x)*(-1.0/sqrt(2.0)*(sin((double) x)+
1433 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1437 + D e s t r o y R e s i z e F i l t e r %
1441 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1443 % DestroyResizeFilter() destroy the resize filter.
1445 % The format of the DestroyResizeFilter method is:
1447 % ResizeFilter *DestroyResizeFilter(ResizeFilter *resize_filter)
1449 % A description of each parameter follows:
1451 % o resize_filter: the resize filter.
1454 MagickExport ResizeFilter *DestroyResizeFilter(ResizeFilter *resize_filter)
1456 assert(resize_filter != (ResizeFilter *) NULL);
1457 assert(resize_filter->signature == MagickSignature);
1458 resize_filter->signature=(~MagickSignature);
1459 resize_filter=(ResizeFilter *) RelinquishMagickMemory(resize_filter);
1460 return(resize_filter);
1464 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1468 + G e t R e s i z e F i l t e r S u p p o r t %
1472 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1474 % GetResizeFilterSupport() return the current support window size for this
1475 % filter. Note that this may have been enlarged by filter:blur factor.
1477 % The format of the GetResizeFilterSupport method is:
1479 % MagickRealType GetResizeFilterSupport(const ResizeFilter *resize_filter)
1481 % A description of each parameter follows:
1483 % o filter: Image filter to use.
1486 MagickExport MagickRealType GetResizeFilterSupport(
1487 const ResizeFilter *resize_filter)
1489 assert(resize_filter != (ResizeFilter *) NULL);
1490 assert(resize_filter->signature == MagickSignature);
1491 return(resize_filter->support*resize_filter->blur);
1495 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1499 + G e t R e s i z e F i l t e r W e i g h t %
1503 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1505 % GetResizeFilterWeight evaluates the specified resize filter at the point x
1506 % which usally lies between zero and the filters current 'support' and
1507 % returns the weight of the filter function at that point.
1509 % The format of the GetResizeFilterWeight method is:
1511 % MagickRealType GetResizeFilterWeight(const ResizeFilter *resize_filter,
1512 % const MagickRealType x)
1514 % A description of each parameter follows:
1516 % o filter: the filter type.
1521 MagickExport MagickRealType GetResizeFilterWeight(
1522 const ResizeFilter *resize_filter,const MagickRealType x)
1529 Windowing function - scale the weighting filter by this amount.
1531 assert(resize_filter != (ResizeFilter *) NULL);
1532 assert(resize_filter->signature == MagickSignature);
1533 x_blur=fabs((double) x)/resize_filter->blur; /* X offset with blur scaling */
1534 if ((resize_filter->window_support < MagickEpsilon) ||
1535 (resize_filter->window == Box))
1536 scale=1.0; /* Point or Box Filter -- avoid division by zero */
1539 scale=resize_filter->scale;
1540 scale=resize_filter->window(x_blur*scale,resize_filter);
1542 return(scale*resize_filter->filter(x_blur,resize_filter));
1546 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1550 % M a g n i f y I m a g e %
1554 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1556 % MagnifyImage() is a convenience method that scales an image proportionally
1557 % to twice its size.
1559 % The format of the MagnifyImage method is:
1561 % Image *MagnifyImage(const Image *image,ExceptionInfo *exception)
1563 % A description of each parameter follows:
1565 % o image: the image.
1567 % o exception: return any errors or warnings in this structure.
1570 MagickExport Image *MagnifyImage(const Image *image,ExceptionInfo *exception)
1575 assert(image != (Image *) NULL);
1576 assert(image->signature == MagickSignature);
1577 if (image->debug != MagickFalse)
1578 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1579 assert(exception != (ExceptionInfo *) NULL);
1580 assert(exception->signature == MagickSignature);
1581 magnify_image=ResizeImage(image,2*image->columns,2*image->rows,CubicFilter,
1583 return(magnify_image);
1587 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1591 % M i n i f y I m a g e %
1595 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1597 % MinifyImage() is a convenience method that scales an image proportionally
1600 % The format of the MinifyImage method is:
1602 % Image *MinifyImage(const Image *image,ExceptionInfo *exception)
1604 % A description of each parameter follows:
1606 % o image: the image.
1608 % o exception: return any errors or warnings in this structure.
1611 MagickExport Image *MinifyImage(const Image *image,ExceptionInfo *exception)
1616 assert(image != (Image *) NULL);
1617 assert(image->signature == MagickSignature);
1618 if (image->debug != MagickFalse)
1619 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1620 assert(exception != (ExceptionInfo *) NULL);
1621 assert(exception->signature == MagickSignature);
1622 minify_image=ResizeImage(image,image->columns/2,image->rows/2,CubicFilter,
1624 return(minify_image);
1628 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1632 % R e s a m p l e I m a g e %
1636 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1638 % ResampleImage() resize image in terms of its pixel size, so that when
1639 % displayed at the given resolution it will be the same size in terms of
1640 % real world units as the original image at the original resolution.
1642 % The format of the ResampleImage method is:
1644 % Image *ResampleImage(Image *image,const double x_resolution,
1645 % const double y_resolution,const FilterTypes filter,const double blur,
1646 % ExceptionInfo *exception)
1648 % A description of each parameter follows:
1650 % o image: the image to be resized to fit the given resolution.
1652 % o x_resolution: the new image x resolution.
1654 % o y_resolution: the new image y resolution.
1656 % o filter: Image filter to use.
1658 % o blur: the blur factor where > 1 is blurry, < 1 is sharp.
1661 MagickExport Image *ResampleImage(const Image *image,const double x_resolution,
1662 const double y_resolution,const FilterTypes filter,const double blur,
1663 ExceptionInfo *exception)
1665 #define ResampleImageTag "Resample/Image"
1675 Initialize sampled image attributes.
1677 assert(image != (const Image *) NULL);
1678 assert(image->signature == MagickSignature);
1679 if (image->debug != MagickFalse)
1680 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1681 assert(exception != (ExceptionInfo *) NULL);
1682 assert(exception->signature == MagickSignature);
1683 width=(size_t) (x_resolution*image->columns/(image->x_resolution == 0.0 ?
1684 72.0 : image->x_resolution)+0.5);
1685 height=(size_t) (y_resolution*image->rows/(image->y_resolution == 0.0 ?
1686 72.0 : image->y_resolution)+0.5);
1687 resample_image=ResizeImage(image,width,height,filter,blur,exception);
1688 if (resample_image != (Image *) NULL)
1690 resample_image->x_resolution=x_resolution;
1691 resample_image->y_resolution=y_resolution;
1693 return(resample_image);
1695 #if defined(MAGICKCORE_LQR_DELEGATE)
1698 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1702 % L i q u i d R e s c a l e I m a g e %
1706 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1708 % LiquidRescaleImage() rescales image with seam carving.
1710 % The format of the LiquidRescaleImage method is:
1712 % Image *LiquidRescaleImage(const Image *image,
1713 % const size_t columns,const size_t rows,
1714 % const double delta_x,const double rigidity,ExceptionInfo *exception)
1716 % A description of each parameter follows:
1718 % o image: the image.
1720 % o columns: the number of columns in the rescaled image.
1722 % o rows: the number of rows in the rescaled image.
1724 % o delta_x: maximum seam transversal step (0 means straight seams).
1726 % o rigidity: introduce a bias for non-straight seams (typically 0).
1728 % o exception: return any errors or warnings in this structure.
1731 MagickExport Image *LiquidRescaleImage(const Image *image,const size_t columns,
1732 const size_t rows,const double delta_x,const double rigidity,
1733 ExceptionInfo *exception)
1735 #define LiquidRescaleImageTag "Rescale/Image"
1769 Liquid rescale image.
1771 assert(image != (const Image *) NULL);
1772 assert(image->signature == MagickSignature);
1773 if (image->debug != MagickFalse)
1774 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1775 assert(exception != (ExceptionInfo *) NULL);
1776 assert(exception->signature == MagickSignature);
1777 if ((columns == 0) || (rows == 0))
1778 return((Image *) NULL);
1779 if ((columns == image->columns) && (rows == image->rows))
1780 return(CloneImage(image,0,0,MagickTrue,exception));
1781 if ((columns <= 2) || (rows <= 2))
1782 return(ResizeImage(image,columns,rows,image->filter,image->blur,exception));
1783 if ((columns >= (2*image->columns)) || (rows >= (2*image->rows)))
1793 Honor liquid resize size limitations.
1795 for (width=image->columns; columns >= (2*width-1); width*=2);
1796 for (height=image->rows; rows >= (2*height-1); height*=2);
1797 resize_image=ResizeImage(image,width,height,image->filter,image->blur,
1799 if (resize_image == (Image *) NULL)
1800 return((Image *) NULL);
1801 rescale_image=LiquidRescaleImage(resize_image,columns,rows,delta_x,
1802 rigidity,exception);
1803 resize_image=DestroyImage(resize_image);
1804 return(rescale_image);
1807 if (image->matte == MagickFalse)
1809 if (image->colorspace == CMYKColorspace)
1812 if (image->matte == MagickFalse)
1815 pixels=(unsigned char *) AcquireQuantumMemory(image->columns,image->rows*
1816 strlen(map)*sizeof(*pixels));
1817 if (pixels == (unsigned char *) NULL)
1818 return((Image *) NULL);
1819 status=ExportImagePixels(image,0,0,image->columns,image->rows,map,CharPixel,
1821 if (status == MagickFalse)
1823 pixels=(unsigned char *) RelinquishMagickMemory(pixels);
1824 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
1826 carver=lqr_carver_new(pixels,image->columns,image->rows,strlen(map));
1827 if (carver == (LqrCarver *) NULL)
1829 pixels=(unsigned char *) RelinquishMagickMemory(pixels);
1830 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
1832 lqr_status=lqr_carver_init(carver,(int) delta_x,rigidity);
1833 lqr_status=lqr_carver_resize(carver,columns,rows);
1834 rescale_image=CloneImage(image,lqr_carver_get_width(carver),
1835 lqr_carver_get_height(carver),MagickTrue,exception);
1836 if (rescale_image == (Image *) NULL)
1838 pixels=(unsigned char *) RelinquishMagickMemory(pixels);
1839 return((Image *) NULL);
1841 if (SetImageStorageClass(rescale_image,DirectClass) == MagickFalse)
1843 InheritException(exception,&rescale_image->exception);
1844 rescale_image=DestroyImage(rescale_image);
1845 return((Image *) NULL);
1847 GetMagickPixelPacket(rescale_image,&pixel);
1848 (void) lqr_carver_scan_reset(carver);
1849 rescale_view=AcquireCacheView(rescale_image);
1850 while (lqr_carver_scan(carver,&x,&y,&packet) != 0)
1852 register IndexPacket
1853 *restrict rescale_indexes;
1855 register PixelPacket
1858 q=QueueCacheViewAuthenticPixels(rescale_view,x,y,1,1,exception);
1859 if (q == (PixelPacket *) NULL)
1861 rescale_indexes=GetCacheViewAuthenticIndexQueue(rescale_view);
1862 pixel.red=QuantumRange*(packet[0]/255.0);
1863 pixel.green=QuantumRange*(packet[1]/255.0);
1864 pixel.blue=QuantumRange*(packet[2]/255.0);
1865 if (image->colorspace != CMYKColorspace)
1867 if (image->matte == MagickFalse)
1868 pixel.opacity=QuantumRange*(packet[3]/255.0);
1872 pixel.index=QuantumRange*(packet[3]/255.0);
1873 if (image->matte == MagickFalse)
1874 pixel.opacity=QuantumRange*(packet[4]/255.0);
1876 SetPixelPacket(rescale_image,&pixel,q,rescale_indexes);
1877 if (SyncCacheViewAuthenticPixels(rescale_view,exception) == MagickFalse)
1880 rescale_view=DestroyCacheView(rescale_view);
1882 Relinquish resources.
1884 lqr_carver_destroy(carver);
1885 return(rescale_image);
1888 MagickExport Image *LiquidRescaleImage(const Image *image,
1889 const size_t magick_unused(columns),const size_t magick_unused(rows),
1890 const double magick_unused(delta_x),const double magick_unused(rigidity),
1891 ExceptionInfo *exception)
1893 assert(image != (const Image *) NULL);
1894 assert(image->signature == MagickSignature);
1895 if (image->debug != MagickFalse)
1896 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
1897 assert(exception != (ExceptionInfo *) NULL);
1898 assert(exception->signature == MagickSignature);
1899 (void) ThrowMagickException(exception,GetMagickModule(),MissingDelegateError,
1900 "DelegateLibrarySupportNotBuiltIn","`%s' (LQR)",image->filename);
1901 return((Image *) NULL);
1906 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1910 % R e s i z e I m a g e %
1914 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1916 % ResizeImage() scales an image to the desired dimensions, using the given
1917 % filter (see AcquireFilterInfo()).
1919 % If an undefined filter is given the filter defaults to Mitchell for a
1920 % colormapped image, a image with a matte channel, or if the image is
1921 % enlarged. Otherwise the filter defaults to a Lanczos.
1923 % ResizeImage() was inspired by Paul Heckbert's "zoom" program.
1925 % The format of the ResizeImage method is:
1927 % Image *ResizeImage(Image *image,const size_t columns,
1928 % const size_t rows,const FilterTypes filter,const double blur,
1929 % ExceptionInfo *exception)
1931 % A description of each parameter follows:
1933 % o image: the image.
1935 % o columns: the number of columns in the scaled image.
1937 % o rows: the number of rows in the scaled image.
1939 % o filter: Image filter to use.
1941 % o blur: the blur factor where > 1 is blurry, < 1 is sharp. Typically set
1944 % o exception: return any errors or warnings in this structure.
1948 typedef struct _ContributionInfo
1957 static ContributionInfo **DestroyContributionThreadSet(
1958 ContributionInfo **contribution)
1963 assert(contribution != (ContributionInfo **) NULL);
1964 for (i=0; i < (ssize_t) GetOpenMPMaximumThreads(); i++)
1965 if (contribution[i] != (ContributionInfo *) NULL)
1966 contribution[i]=(ContributionInfo *) RelinquishMagickMemory(
1968 contribution=(ContributionInfo **) RelinquishMagickMemory(contribution);
1969 return(contribution);
1972 static ContributionInfo **AcquireContributionThreadSet(const size_t count)
1983 number_threads=GetOpenMPMaximumThreads();
1984 contribution=(ContributionInfo **) AcquireQuantumMemory(number_threads,
1985 sizeof(*contribution));
1986 if (contribution == (ContributionInfo **) NULL)
1987 return((ContributionInfo **) NULL);
1988 (void) ResetMagickMemory(contribution,0,number_threads*sizeof(*contribution));
1989 for (i=0; i < (ssize_t) number_threads; i++)
1991 contribution[i]=(ContributionInfo *) AcquireQuantumMemory(count,
1992 sizeof(**contribution));
1993 if (contribution[i] == (ContributionInfo *) NULL)
1994 return(DestroyContributionThreadSet(contribution));
1996 return(contribution);
1999 static inline double MagickMax(const double x,const double y)
2006 static inline double MagickMin(const double x,const double y)
2013 static MagickBooleanType HorizontalFilter(const ResizeFilter *resize_filter,
2014 const Image *image,Image *resize_image,const MagickRealType x_factor,
2015 const MagickSizeType span,MagickOffsetType *offset,ExceptionInfo *exception)
2017 #define ResizeImageTag "Resize/Image"
2027 **restrict contributions;
2043 Apply filter to resize horizontally from image to resize image.
2045 scale=MagickMax(1.0/x_factor+MagickEpsilon,1.0);
2046 support=scale*GetResizeFilterSupport(resize_filter);
2047 storage_class=support > 0.5 ? DirectClass : image->storage_class;
2048 if (SetImageStorageClass(resize_image,storage_class) == MagickFalse)
2050 InheritException(exception,&resize_image->exception);
2051 return(MagickFalse);
2056 Support too small even for nearest neighbour: Reduce to point
2059 support=(MagickRealType) 0.5;
2062 contributions=AcquireContributionThreadSet((size_t) (2.0*support+3.0));
2063 if (contributions == (ContributionInfo **) NULL)
2065 (void) ThrowMagickException(exception,GetMagickModule(),
2066 ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
2067 return(MagickFalse);
2071 (void) ResetMagickMemory(&zero,0,sizeof(zero));
2072 image_view=AcquireCacheView(image);
2073 resize_view=AcquireCacheView(resize_image);
2074 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2075 #pragma omp parallel for shared(status)
2077 for (x=0; x < (ssize_t) resize_image->columns; x++)
2083 register const IndexPacket
2086 register const PixelPacket
2089 register ContributionInfo
2090 *restrict contribution;
2092 register IndexPacket
2093 *restrict resize_indexes;
2095 register PixelPacket
2106 if (status == MagickFalse)
2108 center=(MagickRealType) (x+0.5)/x_factor;
2109 start=(ssize_t) MagickMax(center-support+0.5,0.0);
2110 stop=(ssize_t) MagickMin(center+support+0.5,(double) image->columns);
2112 contribution=contributions[GetOpenMPThreadId()];
2113 for (n=0; n < (stop-start); n++)
2115 contribution[n].pixel=start+n;
2116 contribution[n].weight=GetResizeFilterWeight(resize_filter,scale*
2117 ((MagickRealType) (start+n)-center+0.5));
2118 density+=contribution[n].weight;
2120 if ((density != 0.0) && (density != 1.0))
2128 density=1.0/density;
2129 for (i=0; i < n; i++)
2130 contribution[i].weight*=density;
2132 p=GetCacheViewVirtualPixels(image_view,contribution[0].pixel,0,(size_t)
2133 (contribution[n-1].pixel-contribution[0].pixel+1),image->rows,exception);
2134 q=QueueCacheViewAuthenticPixels(resize_view,x,0,1,resize_image->rows,
2136 if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
2141 indexes=GetCacheViewVirtualIndexQueue(image_view);
2142 resize_indexes=GetCacheViewAuthenticIndexQueue(resize_view);
2143 for (y=0; y < (ssize_t) resize_image->rows; y++)
2158 if (image->matte == MagickFalse)
2160 for (i=0; i < n; i++)
2162 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2163 (contribution[i].pixel-contribution[0].pixel);
2164 alpha=contribution[i].weight;
2165 pixel.red+=alpha*(p+j)->red;
2166 pixel.green+=alpha*(p+j)->green;
2167 pixel.blue+=alpha*(p+j)->blue;
2168 pixel.opacity+=alpha*(p+j)->opacity;
2170 SetRedPixelComponent(q,ClampRedPixelComponent(&pixel));
2171 SetGreenPixelComponent(q,ClampGreenPixelComponent(&pixel));
2172 SetBluePixelComponent(q,ClampBluePixelComponent(&pixel));
2173 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2174 if ((image->colorspace == CMYKColorspace) &&
2175 (resize_image->colorspace == CMYKColorspace))
2177 for (i=0; i < n; i++)
2179 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2180 (contribution[i].pixel-contribution[0].pixel);
2181 alpha=contribution[i].weight;
2182 pixel.index+=alpha*indexes[j];
2184 resize_indexes[y]=(IndexPacket) ClampToQuantum(pixel.index);
2193 for (i=0; i < n; i++)
2195 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2196 (contribution[i].pixel-contribution[0].pixel);
2197 alpha=contribution[i].weight*QuantumScale*
2198 GetAlphaPixelComponent(p+j);
2199 pixel.red+=alpha*(p+j)->red;
2200 pixel.green+=alpha*(p+j)->green;
2201 pixel.blue+=alpha*(p+j)->blue;
2202 pixel.opacity+=contribution[i].weight*(p+j)->opacity;
2205 gamma=1.0/(fabs((double) gamma) <= MagickEpsilon ? 1.0 : gamma);
2206 q->red=ClampToQuantum(gamma*GetRedPixelComponent(&pixel));
2207 q->green=ClampToQuantum(gamma*GetGreenPixelComponent(&pixel));
2208 q->blue=ClampToQuantum(gamma*GetBluePixelComponent(&pixel));
2209 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2210 if ((image->colorspace == CMYKColorspace) &&
2211 (resize_image->colorspace == CMYKColorspace))
2213 for (i=0; i < n; i++)
2215 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2216 (contribution[i].pixel-contribution[0].pixel);
2217 alpha=contribution[i].weight*QuantumScale*
2218 GetAlphaPixelComponent(p+j);
2219 pixel.index+=alpha*indexes[j];
2221 resize_indexes[y]=(IndexPacket) ClampToQuantum(gamma*
2222 GetIndexPixelComponent(&pixel));
2225 if ((resize_image->storage_class == PseudoClass) &&
2226 (image->storage_class == PseudoClass))
2228 i=(ssize_t) (MagickMin(MagickMax(center,(double) start),(double) stop-
2230 j=y*(contribution[n-1].pixel-contribution[0].pixel+1)+
2231 (contribution[i-start].pixel-contribution[0].pixel);
2232 resize_indexes[y]=indexes[j];
2236 if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
2238 if (image->progress_monitor != (MagickProgressMonitor) NULL)
2243 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2244 #pragma omp critical (MagickCore_HorizontalFilter)
2246 proceed=SetImageProgress(image,ResizeImageTag,(*offset)++,span);
2247 if (proceed == MagickFalse)
2251 resize_view=DestroyCacheView(resize_view);
2252 image_view=DestroyCacheView(image_view);
2253 contributions=DestroyContributionThreadSet(contributions);
2257 static MagickBooleanType VerticalFilter(const ResizeFilter *resize_filter,
2258 const Image *image,Image *resize_image,const MagickRealType y_factor,
2259 const MagickSizeType span,MagickOffsetType *offset,ExceptionInfo *exception)
2269 **restrict contributions;
2285 Apply filter to resize vertically from image to resize image.
2287 scale=MagickMax(1.0/y_factor+MagickEpsilon,1.0);
2288 support=scale*GetResizeFilterSupport(resize_filter);
2289 storage_class=support > 0.5 ? DirectClass : image->storage_class;
2290 if (SetImageStorageClass(resize_image,storage_class) == MagickFalse)
2292 InheritException(exception,&resize_image->exception);
2293 return(MagickFalse);
2298 Support too small even for nearest neighbour: Reduce to point
2301 support=(MagickRealType) 0.5;
2304 contributions=AcquireContributionThreadSet((size_t) (2.0*support+3.0));
2305 if (contributions == (ContributionInfo **) NULL)
2307 (void) ThrowMagickException(exception,GetMagickModule(),
2308 ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
2309 return(MagickFalse);
2313 (void) ResetMagickMemory(&zero,0,sizeof(zero));
2314 image_view=AcquireCacheView(image);
2315 resize_view=AcquireCacheView(resize_image);
2316 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2317 #pragma omp parallel for shared(status)
2319 for (y=0; y < (ssize_t) resize_image->rows; y++)
2325 register const IndexPacket
2328 register const PixelPacket
2331 register ContributionInfo
2332 *restrict contribution;
2334 register IndexPacket
2335 *restrict resize_indexes;
2337 register PixelPacket
2348 if (status == MagickFalse)
2350 center=(MagickRealType) (y+0.5)/y_factor;
2351 start=(ssize_t) MagickMax(center-support+0.5,0.0);
2352 stop=(ssize_t) MagickMin(center+support+0.5,(double) image->rows);
2354 contribution=contributions[GetOpenMPThreadId()];
2355 for (n=0; n < (stop-start); n++)
2357 contribution[n].pixel=start+n;
2358 contribution[n].weight=GetResizeFilterWeight(resize_filter,scale*
2359 ((MagickRealType) (start+n)-center+0.5));
2360 density+=contribution[n].weight;
2362 if ((density != 0.0) && (density != 1.0))
2370 density=1.0/density;
2371 for (i=0; i < n; i++)
2372 contribution[i].weight*=density;
2374 p=GetCacheViewVirtualPixels(image_view,0,contribution[0].pixel,
2375 image->columns,(size_t) (contribution[n-1].pixel-contribution[0].pixel+1),
2377 q=QueueCacheViewAuthenticPixels(resize_view,0,y,resize_image->columns,1,
2379 if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
2384 indexes=GetCacheViewVirtualIndexQueue(image_view);
2385 resize_indexes=GetCacheViewAuthenticIndexQueue(resize_view);
2386 for (x=0; x < (ssize_t) resize_image->columns; x++)
2401 if (image->matte == MagickFalse)
2403 for (i=0; i < n; i++)
2405 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2407 alpha=contribution[i].weight;
2408 pixel.red+=alpha*(p+j)->red;
2409 pixel.green+=alpha*(p+j)->green;
2410 pixel.blue+=alpha*(p+j)->blue;
2411 pixel.opacity+=alpha*(p+j)->opacity;
2413 SetRedPixelComponent(q,ClampRedPixelComponent(&pixel));
2414 SetGreenPixelComponent(q,ClampGreenPixelComponent(&pixel));
2415 SetBluePixelComponent(q,ClampBluePixelComponent(&pixel));
2416 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2417 if ((image->colorspace == CMYKColorspace) &&
2418 (resize_image->colorspace == CMYKColorspace))
2420 for (i=0; i < n; i++)
2422 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2424 alpha=contribution[i].weight;
2425 pixel.index+=alpha*indexes[j];
2427 resize_indexes[x]=(IndexPacket) ClampToQuantum(pixel.index);
2436 for (i=0; i < n; i++)
2438 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2440 alpha=contribution[i].weight*QuantumScale*
2441 GetAlphaPixelComponent(p+j);
2442 pixel.red+=alpha*(p+j)->red;
2443 pixel.green+=alpha*(p+j)->green;
2444 pixel.blue+=alpha*(p+j)->blue;
2445 pixel.opacity+=contribution[i].weight*(p+j)->opacity;
2448 gamma=1.0/(fabs((double) gamma) <= MagickEpsilon ? 1.0 : gamma);
2449 q->red=ClampToQuantum(gamma*GetRedPixelComponent(&pixel));
2450 q->green=ClampToQuantum(gamma*GetGreenPixelComponent(&pixel));
2451 q->blue=ClampToQuantum(gamma*GetBluePixelComponent(&pixel));
2452 SetOpacityPixelComponent(q,ClampOpacityPixelComponent(&pixel));
2453 if ((image->colorspace == CMYKColorspace) &&
2454 (resize_image->colorspace == CMYKColorspace))
2456 for (i=0; i < n; i++)
2458 j=(ssize_t) ((contribution[i].pixel-contribution[0].pixel)*
2460 alpha=contribution[i].weight*QuantumScale*
2461 GetAlphaPixelComponent(p+j);
2462 pixel.index+=alpha*indexes[j];
2464 resize_indexes[x]=(IndexPacket) ClampToQuantum(gamma*
2465 GetIndexPixelComponent(&pixel));
2468 if ((resize_image->storage_class == PseudoClass) &&
2469 (image->storage_class == PseudoClass))
2471 i=(ssize_t) (MagickMin(MagickMax(center,(double) start),(double) stop-
2473 j=(ssize_t) ((contribution[i-start].pixel-contribution[0].pixel)*
2475 resize_indexes[x]=indexes[j];
2479 if (SyncCacheViewAuthenticPixels(resize_view,exception) == MagickFalse)
2481 if (image->progress_monitor != (MagickProgressMonitor) NULL)
2486 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2487 #pragma omp critical (MagickCore_VerticalFilter)
2489 proceed=SetImageProgress(image,ResizeImageTag,(*offset)++,span);
2490 if (proceed == MagickFalse)
2494 resize_view=DestroyCacheView(resize_view);
2495 image_view=DestroyCacheView(image_view);
2496 contributions=DestroyContributionThreadSet(contributions);
2500 MagickExport Image *ResizeImage(const Image *image,const size_t columns,
2501 const size_t rows,const FilterTypes filter,const double blur,
2502 ExceptionInfo *exception)
2504 #define WorkLoadFactor 0.265
2530 Acquire resize image.
2532 assert(image != (Image *) NULL);
2533 assert(image->signature == MagickSignature);
2534 if (image->debug != MagickFalse)
2535 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
2536 assert(exception != (ExceptionInfo *) NULL);
2537 assert(exception->signature == MagickSignature);
2538 if ((columns == 0) || (rows == 0))
2539 ThrowImageException(ImageError,"NegativeOrZeroImageSize");
2540 if ((columns == image->columns) && (rows == image->rows) &&
2541 (filter == UndefinedFilter) && (blur == 1.0))
2542 return(CloneImage(image,0,0,MagickTrue,exception));
2543 resize_image=CloneImage(image,columns,rows,MagickTrue,exception);
2544 if (resize_image == (Image *) NULL)
2545 return(resize_image);
2547 Acquire resize filter.
2549 x_factor=(MagickRealType) columns/(MagickRealType) image->columns;
2550 y_factor=(MagickRealType) rows/(MagickRealType) image->rows;
2551 if ((x_factor*y_factor) > WorkLoadFactor)
2552 filter_image=CloneImage(image,columns,image->rows,MagickTrue,exception);
2554 filter_image=CloneImage(image,image->columns,rows,MagickTrue,exception);
2555 if (filter_image == (Image *) NULL)
2556 return(DestroyImage(resize_image));
2557 filter_type=LanczosFilter;
2558 if (filter != UndefinedFilter)
2561 if ((x_factor == 1.0) && (y_factor == 1.0))
2562 filter_type=PointFilter;
2564 if ((image->storage_class == PseudoClass) ||
2565 (image->matte != MagickFalse) || ((x_factor*y_factor) > 1.0))
2566 filter_type=MitchellFilter;
2567 resize_filter=AcquireResizeFilter(image,filter_type,blur,MagickFalse,
2573 if ((x_factor*y_factor) > WorkLoadFactor)
2575 span=(MagickSizeType) (filter_image->columns+rows);
2576 status=HorizontalFilter(resize_filter,image,filter_image,x_factor,span,
2578 status&=VerticalFilter(resize_filter,filter_image,resize_image,y_factor,
2579 span,&offset,exception);
2583 span=(MagickSizeType) (filter_image->rows+columns);
2584 status=VerticalFilter(resize_filter,image,filter_image,y_factor,span,
2586 status&=HorizontalFilter(resize_filter,filter_image,resize_image,x_factor,
2587 span,&offset,exception);
2592 filter_image=DestroyImage(filter_image);
2593 resize_filter=DestroyResizeFilter(resize_filter);
2594 if ((status == MagickFalse) || (resize_image == (Image *) NULL))
2595 return((Image *) NULL);
2596 resize_image->type=image->type;
2597 return(resize_image);
2601 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2605 % S a m p l e I m a g e %
2609 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2611 % SampleImage() scales an image to the desired dimensions with pixel
2612 % sampling. Unlike other scaling methods, this method does not introduce
2613 % any additional color into the scaled image.
2615 % The format of the SampleImage method is:
2617 % Image *SampleImage(const Image *image,const size_t columns,
2618 % const size_t rows,ExceptionInfo *exception)
2620 % A description of each parameter follows:
2622 % o image: the image.
2624 % o columns: the number of columns in the sampled image.
2626 % o rows: the number of rows in the sampled image.
2628 % o exception: return any errors or warnings in this structure.
2631 MagickExport Image *SampleImage(const Image *image,const size_t columns,
2632 const size_t rows,ExceptionInfo *exception)
2634 #define SampleImageTag "Sample/Image"
2657 Initialize sampled image attributes.
2659 assert(image != (const Image *) NULL);
2660 assert(image->signature == MagickSignature);
2661 if (image->debug != MagickFalse)
2662 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
2663 assert(exception != (ExceptionInfo *) NULL);
2664 assert(exception->signature == MagickSignature);
2665 if ((columns == 0) || (rows == 0))
2666 ThrowImageException(ImageError,"NegativeOrZeroImageSize");
2667 if ((columns == image->columns) && (rows == image->rows))
2668 return(CloneImage(image,0,0,MagickTrue,exception));
2669 sample_image=CloneImage(image,columns,rows,MagickTrue,exception);
2670 if (sample_image == (Image *) NULL)
2671 return((Image *) NULL);
2673 Allocate scan line buffer and column offset buffers.
2675 x_offset=(ssize_t *) AcquireQuantumMemory((size_t) sample_image->columns,
2677 if (x_offset == (ssize_t *) NULL)
2679 sample_image=DestroyImage(sample_image);
2680 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
2682 for (x=0; x < (ssize_t) sample_image->columns; x++)
2683 x_offset[x]=(ssize_t) (((MagickRealType) x+0.5)*image->columns/
2684 sample_image->columns);
2690 image_view=AcquireCacheView(image);
2691 sample_view=AcquireCacheView(sample_image);
2692 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2693 #pragma omp parallel for schedule(dynamic,4) shared(progress,status)
2695 for (y=0; y < (ssize_t) sample_image->rows; y++)
2697 register const IndexPacket
2700 register const PixelPacket
2703 register IndexPacket
2704 *restrict sample_indexes;
2706 register PixelPacket
2715 if (status == MagickFalse)
2717 y_offset=(ssize_t) (((MagickRealType) y+0.5)*image->rows/
2718 sample_image->rows);
2719 p=GetCacheViewVirtualPixels(image_view,0,y_offset,image->columns,1,
2721 q=QueueCacheViewAuthenticPixels(sample_view,0,y,sample_image->columns,1,
2723 if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
2728 indexes=GetCacheViewAuthenticIndexQueue(image_view);
2729 sample_indexes=GetCacheViewAuthenticIndexQueue(sample_view);
2733 for (x=0; x < (ssize_t) sample_image->columns; x++)
2734 *q++=p[x_offset[x]];
2735 if ((image->storage_class == PseudoClass) ||
2736 (image->colorspace == CMYKColorspace))
2737 for (x=0; x < (ssize_t) sample_image->columns; x++)
2738 sample_indexes[x]=indexes[x_offset[x]];
2739 if (SyncCacheViewAuthenticPixels(sample_view,exception) == MagickFalse)
2741 if (image->progress_monitor != (MagickProgressMonitor) NULL)
2746 #if defined(MAGICKCORE_OPENMP_SUPPORT)
2747 #pragma omp critical (MagickCore_SampleImage)
2749 proceed=SetImageProgress(image,SampleImageTag,progress++,image->rows);
2750 if (proceed == MagickFalse)
2754 image_view=DestroyCacheView(image_view);
2755 sample_view=DestroyCacheView(sample_view);
2756 x_offset=(ssize_t *) RelinquishMagickMemory(x_offset);
2757 sample_image->type=image->type;
2758 return(sample_image);
2762 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2766 % S c a l e I m a g e %
2770 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2772 % ScaleImage() changes the size of an image to the given dimensions.
2774 % The format of the ScaleImage method is:
2776 % Image *ScaleImage(const Image *image,const size_t columns,
2777 % const size_t rows,ExceptionInfo *exception)
2779 % A description of each parameter follows:
2781 % o image: the image.
2783 % o columns: the number of columns in the scaled image.
2785 % o rows: the number of rows in the scaled image.
2787 % o exception: return any errors or warnings in this structure.
2790 MagickExport Image *ScaleImage(const Image *image,const size_t columns,
2791 const size_t rows,ExceptionInfo *exception)
2793 #define ScaleImageTag "Scale/Image"
2827 Initialize scaled image attributes.
2829 assert(image != (const Image *) NULL);
2830 assert(image->signature == MagickSignature);
2831 if (image->debug != MagickFalse)
2832 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
2833 assert(exception != (ExceptionInfo *) NULL);
2834 assert(exception->signature == MagickSignature);
2835 if ((columns == 0) || (rows == 0))
2836 return((Image *) NULL);
2837 if ((columns == image->columns) && (rows == image->rows))
2838 return(CloneImage(image,0,0,MagickTrue,exception));
2839 scale_image=CloneImage(image,columns,rows,MagickTrue,exception);
2840 if (scale_image == (Image *) NULL)
2841 return((Image *) NULL);
2842 if (SetImageStorageClass(scale_image,DirectClass) == MagickFalse)
2844 InheritException(exception,&scale_image->exception);
2845 scale_image=DestroyImage(scale_image);
2846 return((Image *) NULL);
2851 x_vector=(MagickPixelPacket *) AcquireQuantumMemory((size_t) image->columns,
2854 if (image->rows != scale_image->rows)
2855 scanline=(MagickPixelPacket *) AcquireQuantumMemory((size_t) image->columns,
2857 scale_scanline=(MagickPixelPacket *) AcquireQuantumMemory((size_t)
2858 scale_image->columns,sizeof(*scale_scanline));
2859 y_vector=(MagickPixelPacket *) AcquireQuantumMemory((size_t) image->columns,
2861 if ((scanline == (MagickPixelPacket *) NULL) ||
2862 (scale_scanline == (MagickPixelPacket *) NULL) ||
2863 (x_vector == (MagickPixelPacket *) NULL) ||
2864 (y_vector == (MagickPixelPacket *) NULL))
2866 scale_image=DestroyImage(scale_image);
2867 ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
2873 next_row=MagickTrue;
2875 scale.y=(double) scale_image->rows/(double) image->rows;
2876 (void) ResetMagickMemory(y_vector,0,(size_t) image->columns*
2878 GetMagickPixelPacket(image,&pixel);
2879 (void) ResetMagickMemory(&zero,0,sizeof(zero));
2881 image_view=AcquireCacheView(image);
2882 scale_view=AcquireCacheView(scale_image);
2883 for (y=0; y < (ssize_t) scale_image->rows; y++)
2885 register const IndexPacket
2888 register const PixelPacket
2891 register IndexPacket
2892 *restrict scale_indexes;
2894 register MagickPixelPacket
2898 register PixelPacket
2904 q=QueueCacheViewAuthenticPixels(scale_view,0,y,scale_image->columns,1,
2906 if (q == (PixelPacket *) NULL)
2908 scale_indexes=GetAuthenticIndexQueue(scale_image);
2909 if (scale_image->rows == image->rows)
2912 Read a new scanline.
2914 p=GetCacheViewVirtualPixels(image_view,0,i++,image->columns,1,
2916 if (p == (const PixelPacket *) NULL)
2918 indexes=GetCacheViewVirtualIndexQueue(image_view);
2919 for (x=0; x < (ssize_t) image->columns; x++)
2921 x_vector[x].red=(MagickRealType) GetRedPixelComponent(p);
2922 x_vector[x].green=(MagickRealType) GetGreenPixelComponent(p);
2923 x_vector[x].blue=(MagickRealType) GetBluePixelComponent(p);
2924 if (image->matte != MagickFalse)
2925 x_vector[x].opacity=(MagickRealType) GetOpacityPixelComponent(p);
2926 if (indexes != (IndexPacket *) NULL)
2927 x_vector[x].index=(MagickRealType) indexes[x];
2936 while (scale.y < span.y)
2938 if ((next_row != MagickFalse) &&
2939 (number_rows < (ssize_t) image->rows))
2942 Read a new scanline.
2944 p=GetCacheViewVirtualPixels(image_view,0,i++,image->columns,1,
2946 if (p == (const PixelPacket *) NULL)
2948 indexes=GetCacheViewVirtualIndexQueue(image_view);
2949 for (x=0; x < (ssize_t) image->columns; x++)
2951 x_vector[x].red=(MagickRealType) GetRedPixelComponent(p);
2952 x_vector[x].green=(MagickRealType) GetGreenPixelComponent(p);
2953 x_vector[x].blue=(MagickRealType) GetBluePixelComponent(p);
2954 if (image->matte != MagickFalse)
2955 x_vector[x].opacity=(MagickRealType)
2956 GetOpacityPixelComponent(p);
2957 if (indexes != (IndexPacket *) NULL)
2958 x_vector[x].index=(MagickRealType) indexes[x];
2963 for (x=0; x < (ssize_t) image->columns; x++)
2965 y_vector[x].red+=scale.y*x_vector[x].red;
2966 y_vector[x].green+=scale.y*x_vector[x].green;
2967 y_vector[x].blue+=scale.y*x_vector[x].blue;
2968 if (scale_image->matte != MagickFalse)
2969 y_vector[x].opacity+=scale.y*x_vector[x].opacity;
2970 if (scale_indexes != (IndexPacket *) NULL)
2971 y_vector[x].index+=scale.y*x_vector[x].index;
2974 scale.y=(double) scale_image->rows/(double) image->rows;
2975 next_row=MagickTrue;
2977 if ((next_row != MagickFalse) && (number_rows < (ssize_t) image->rows))
2980 Read a new scanline.
2982 p=GetCacheViewVirtualPixels(image_view,0,i++,image->columns,1,
2984 if (p == (const PixelPacket *) NULL)
2986 indexes=GetCacheViewVirtualIndexQueue(image_view);
2987 for (x=0; x < (ssize_t) image->columns; x++)
2989 x_vector[x].red=(MagickRealType) GetRedPixelComponent(p);
2990 x_vector[x].green=(MagickRealType) GetGreenPixelComponent(p);
2991 x_vector[x].blue=(MagickRealType) GetBluePixelComponent(p);
2992 if (image->matte != MagickFalse)
2993 x_vector[x].opacity=(MagickRealType)
2994 GetOpacityPixelComponent(p);
2995 if (indexes != (IndexPacket *) NULL)
2996 x_vector[x].index=(MagickRealType) indexes[x];
3000 next_row=MagickFalse;
3003 for (x=0; x < (ssize_t) image->columns; x++)
3005 pixel.red=y_vector[x].red+span.y*x_vector[x].red;
3006 pixel.green=y_vector[x].green+span.y*x_vector[x].green;
3007 pixel.blue=y_vector[x].blue+span.y*x_vector[x].blue;
3008 if (image->matte != MagickFalse)
3009 pixel.opacity=y_vector[x].opacity+span.y*x_vector[x].opacity;
3010 if (scale_indexes != (IndexPacket *) NULL)
3011 pixel.index=y_vector[x].index+span.y*x_vector[x].index;
3013 s->green=pixel.green;
3015 if (scale_image->matte != MagickFalse)
3016 s->opacity=pixel.opacity;
3017 if (scale_indexes != (IndexPacket *) NULL)
3018 s->index=pixel.index;
3025 scale.y=(double) scale_image->rows/(double) image->rows;
3026 next_row=MagickTrue;
3030 if (scale_image->columns == image->columns)
3033 Transfer scanline to scaled image.
3036 for (x=0; x < (ssize_t) scale_image->columns; x++)
3038 q->red=ClampToQuantum(s->red);
3039 q->green=ClampToQuantum(s->green);
3040 q->blue=ClampToQuantum(s->blue);
3041 if (scale_image->matte != MagickFalse)
3042 q->opacity=ClampToQuantum(s->opacity);
3043 if (scale_indexes != (IndexPacket *) NULL)
3044 scale_indexes[x]=(IndexPacket) ClampToQuantum(s->index);
3055 next_column=MagickFalse;
3059 for (x=0; x < (ssize_t) image->columns; x++)
3061 scale.x=(double) scale_image->columns/(double) image->columns;
3062 while (scale.x >= span.x)
3064 if (next_column != MagickFalse)
3069 pixel.red+=span.x*s->red;
3070 pixel.green+=span.x*s->green;
3071 pixel.blue+=span.x*s->blue;
3072 if (image->matte != MagickFalse)
3073 pixel.opacity+=span.x*s->opacity;
3074 if (scale_indexes != (IndexPacket *) NULL)
3075 pixel.index+=span.x*s->index;
3077 t->green=pixel.green;
3079 if (scale_image->matte != MagickFalse)
3080 t->opacity=pixel.opacity;
3081 if (scale_indexes != (IndexPacket *) NULL)
3082 t->index=pixel.index;
3085 next_column=MagickTrue;
3089 if (next_column != MagickFalse)
3092 next_column=MagickFalse;
3095 pixel.red+=scale.x*s->red;
3096 pixel.green+=scale.x*s->green;
3097 pixel.blue+=scale.x*s->blue;
3098 if (scale_image->matte != MagickFalse)
3099 pixel.opacity+=scale.x*s->opacity;
3100 if (scale_indexes != (IndexPacket *) NULL)
3101 pixel.index+=scale.x*s->index;
3109 pixel.red+=span.x*s->red;
3110 pixel.green+=span.x*s->green;
3111 pixel.blue+=span.x*s->blue;
3112 if (scale_image->matte != MagickFalse)
3113 pixel.opacity+=span.x*s->opacity;
3114 if (scale_indexes != (IndexPacket *) NULL)
3115 pixel.index+=span.x*s->index;
3117 if ((next_column == MagickFalse) &&
3118 ((ssize_t) (t-scale_scanline) < (ssize_t) scale_image->columns))
3121 t->green=pixel.green;
3123 if (scale_image->matte != MagickFalse)
3124 t->opacity=pixel.opacity;
3125 if (scale_indexes != (IndexPacket *) NULL)
3126 t->index=pixel.index;
3129 Transfer scanline to scaled image.
3132 for (x=0; x < (ssize_t) scale_image->columns; x++)
3134 q->red=ClampToQuantum(t->red);
3135 q->green=ClampToQuantum(t->green);
3136 q->blue=ClampToQuantum(t->blue);
3137 if (scale_image->matte != MagickFalse)
3138 q->opacity=ClampToQuantum(t->opacity);
3139 if (scale_indexes != (IndexPacket *) NULL)
3140 scale_indexes[x]=(IndexPacket) ClampToQuantum(t->index);
3145 if (SyncCacheViewAuthenticPixels(scale_view,exception) == MagickFalse)
3147 proceed=SetImageProgress(image,ScaleImageTag,(MagickOffsetType) y,
3149 if (proceed == MagickFalse)
3152 scale_view=DestroyCacheView(scale_view);
3153 image_view=DestroyCacheView(image_view);
3155 Free allocated memory.
3157 y_vector=(MagickPixelPacket *) RelinquishMagickMemory(y_vector);
3158 scale_scanline=(MagickPixelPacket *) RelinquishMagickMemory(scale_scanline);
3159 if (scale_image->rows != image->rows)
3160 scanline=(MagickPixelPacket *) RelinquishMagickMemory(scanline);
3161 x_vector=(MagickPixelPacket *) RelinquishMagickMemory(x_vector);
3162 scale_image->type=image->type;
3163 return(scale_image);
3167 THIS IS NOT USED -- to be removed
3169 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3173 + S e t R e s i z e F i l t e r S u p p o r t %
3177 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3179 % SetResizeFilterSupport() specifies which IR filter to use to window
3181 % The format of the SetResizeFilterSupport method is:
3183 % void SetResizeFilterSupport(ResizeFilter *resize_filter,
3184 % const MagickRealType support)
3186 % A description of each parameter follows:
3188 % o resize_filter: the resize filter.
3190 % o support: the filter spport radius.
3193 MagickExport void SetResizeFilterSupport(ResizeFilter *resize_filter,
3194 const MagickRealType support)
3196 assert(resize_filter != (ResizeFilter *) NULL);
3197 assert(resize_filter->signature == MagickSignature);
3198 resize_filter->support=support;
3203 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3207 % T h u m b n a i l I m a g e %
3211 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3213 % ThumbnailImage() changes the size of an image to the given dimensions and
3214 % removes any associated profiles. The goal is to produce small low cost
3215 % thumbnail images suited for display on the Web.
3217 % The format of the ThumbnailImage method is:
3219 % Image *ThumbnailImage(const Image *image,const size_t columns,
3220 % const size_t rows,ExceptionInfo *exception)
3222 % A description of each parameter follows:
3224 % o image: the image.
3226 % o columns: the number of columns in the scaled image.
3228 % o rows: the number of rows in the scaled image.
3230 % o exception: return any errors or warnings in this structure.
3233 MagickExport Image *ThumbnailImage(const Image *image,const size_t columns,
3234 const size_t rows,ExceptionInfo *exception)
3236 #define SampleFactor 5
3239 value[MaxTextExtent];
3257 assert(image != (Image *) NULL);
3258 assert(image->signature == MagickSignature);
3259 if (image->debug != MagickFalse)
3260 (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
3261 assert(exception != (ExceptionInfo *) NULL);
3262 assert(exception->signature == MagickSignature);
3263 x_factor=(MagickRealType) columns/(MagickRealType) image->columns;
3264 y_factor=(MagickRealType) rows/(MagickRealType) image->rows;
3265 if ((x_factor*y_factor) > 0.1)
3266 thumbnail_image=ResizeImage(image,columns,rows,image->filter,image->blur,
3269 if (((SampleFactor*columns) < 128) || ((SampleFactor*rows) < 128))
3270 thumbnail_image=ResizeImage(image,columns,rows,image->filter,
3271 image->blur,exception);
3277 sample_image=SampleImage(image,SampleFactor*columns,SampleFactor*rows,
3279 if (sample_image == (Image *) NULL)
3280 return((Image *) NULL);
3281 thumbnail_image=ResizeImage(sample_image,columns,rows,image->filter,
3282 image->blur,exception);
3283 sample_image=DestroyImage(sample_image);
3285 if (thumbnail_image == (Image *) NULL)
3286 return(thumbnail_image);
3287 (void) ParseAbsoluteGeometry("0x0+0+0",&thumbnail_image->page);
3288 if (thumbnail_image->matte == MagickFalse)
3289 (void) SetImageAlphaChannel(thumbnail_image,OpaqueAlphaChannel);
3290 thumbnail_image->depth=8;
3291 thumbnail_image->interlace=NoInterlace;
3293 Strip all profiles except color profiles.
3295 ResetImageProfileIterator(thumbnail_image);
3296 for (name=GetNextImageProfile(thumbnail_image); name != (const char *) NULL; )
3298 if ((LocaleCompare(name,"icc") != 0) && (LocaleCompare(name,"icm") != 0))
3300 (void) DeleteImageProfile(thumbnail_image,name);
3301 ResetImageProfileIterator(thumbnail_image);
3303 name=GetNextImageProfile(thumbnail_image);
3305 (void) DeleteImageProperty(thumbnail_image,"comment");
3306 (void) CopyMagickString(value,image->magick_filename,MaxTextExtent);
3307 if (strstr(image->magick_filename,"//") == (char *) NULL)
3308 (void) FormatMagickString(value,MaxTextExtent,"file://%s",
3309 image->magick_filename);
3310 (void) SetImageProperty(thumbnail_image,"Thumb::URI",value);
3311 (void) CopyMagickString(value,image->magick_filename,MaxTextExtent);
3312 if (GetPathAttributes(image->filename,&attributes) != MagickFalse)
3314 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3315 attributes.st_mtime);
3316 (void) SetImageProperty(thumbnail_image,"Thumb::MTime",value);
3318 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3319 attributes.st_mtime);
3320 (void) FormatMagickSize(GetBlobSize(image),MagickFalse,value);
3321 (void) ConcatenateMagickString(value,"B",MaxTextExtent);
3322 (void) SetImageProperty(thumbnail_image,"Thumb::Size",value);
3323 (void) FormatMagickString(value,MaxTextExtent,"image/%s",image->magick);
3325 (void) SetImageProperty(thumbnail_image,"Thumb::Mimetype",value);
3326 (void) SetImageProperty(thumbnail_image,"software",
3327 GetMagickVersion(&version));
3328 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3329 image->magick_columns);
3330 (void) SetImageProperty(thumbnail_image,"Thumb::Image::Width",value);
3331 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3332 image->magick_rows);
3333 (void) SetImageProperty(thumbnail_image,"Thumb::Image::height",value);
3334 (void) FormatMagickString(value,MaxTextExtent,"%.20g",(double)
3335 GetImageListLength(image));
3336 (void) SetImageProperty(thumbnail_image,"Thumb::Document::Pages",value);
3337 return(thumbnail_image);