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			399 lines
		
	
	
		
			12 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			399 lines
		
	
	
		
			12 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
/* PILusm, a gaussian blur and unsharp masking library for PIL
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   By Kevin Cazabon, copyright 2003
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   kevin_cazabon@hotmail.com
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   kevin@cazabon.com */
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/* Originally released under LGPL.  Graciously donated to PIL
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   for distribution under the standard PIL license in 2009." */
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#include "Python.h"
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#include "Imaging.h"
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#define PILUSMVERSION "0.6.1"
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/* version history
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0.6.1   converted to C and added to PIL 1.1.7
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0.6.0   fixed/improved float radius support (oops!)
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        now that radius can be a float (properly), changed radius value to
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            be an actual radius (instead of diameter).  So, you should get
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            similar results from PIL_usm as from other paint programs when
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            using the SAME values (no doubling of radius required any more).
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            Be careful, this may "break" software if you had it set for 2x
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            or 5x the radius as was recommended with earlier versions.
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        made PILusm thread-friendly (release GIL before lengthly operations,
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            and re-acquire it before returning to Python).  This makes a huge
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            difference with multi-threaded applications on dual-processor
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            or "Hyperthreading"-enabled systems (Pentium4, Xeon, etc.)
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0.5.0   added support for float radius values!
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0.4.0   tweaked gaussian curve calculation to be closer to consistent shape
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            across a wide range of radius values
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0.3.0   changed deviation calculation in gausian algorithm to be dynamic
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        _gblur now adds 1 to the user-supplied radius before using it so
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            that a value of "0" returns the original image instead of a
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            black one.
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        fixed handling of alpha channel in RGBX, RGBA images
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        improved speed of gblur by reducing unnecessary checks and assignments
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0.2.0   fixed L-mode image support
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0.1.0   initial release
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*/
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static inline UINT8 clip(double in)
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{
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    if (in >= 255.0)
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	return (UINT8) 255;
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    if (in <= 0.0)
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	return (UINT8) 0;
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    return (UINT8) in;
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}
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static Imaging
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gblur(Imaging im, Imaging imOut, float floatRadius, int channels, int padding)
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{
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    ImagingSectionCookie cookie;
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    float *maskData = NULL;
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    int y = 0;
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    int x = 0;
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    float z = 0;
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    float sum = 0.0;
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    float dev = 0.0;
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    float *buffer = NULL;
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    int *line = NULL;
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    UINT8 *line8 = NULL;
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    int pix = 0;
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    float newPixel[4];
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    int channel = 0;
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    int offset = 0;
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    INT32 newPixelFinals;
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    int radius = 0;
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    float remainder = 0.0;
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    int i;
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    /* Do the gaussian blur */
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    /* For a symmetrical gaussian blur, instead of doing a radius*radius
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       matrix lookup, you get the EXACT same results by doing a radius*1
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       transform, followed by a 1*radius transform.  This reduces the
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       number of lookups exponentially (10 lookups per pixel for a
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       radius of 5 instead of 25 lookups).  So, we blur the lines first,
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       then we blur the resulting columns. */
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    /* first, round radius off to the next higher integer and hold the
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       remainder this is used so we can support float radius values
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       properly. */
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    remainder = floatRadius - ((int) floatRadius);
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    floatRadius = ceil(floatRadius);
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    /* Next, double the radius and offset by 2.0... that way "0" returns
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       the original image instead of a black one.  We multiply it by 2.0
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       so that it is a true "radius", not a diameter (the results match
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       other paint programs closer that way too). */
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    radius = (int) ((floatRadius * 2.0) + 2.0);
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    /* create the maskData for the gaussian curve */
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    maskData = malloc(radius * sizeof(float));
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    /* FIXME: error checking */
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    for (x = 0; x < radius; x++) {
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	z = ((float) (x + 2) / ((float) radius));
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	dev = 0.5 + (((float) (radius * radius)) * 0.001);
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	/* you can adjust this factor to change the shape/center-weighting
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	   of the gaussian */
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	maskData[x] = (float) pow((1.0 / sqrt(2.0 * 3.14159265359 * dev)),
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				  ((-(z - 1.0) * -(x - 1.0)) /
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				   (2.0 * dev)));
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    }
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    /* if there's any remainder, multiply the first/last values in
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       MaskData it.  this allows us to support float radius values. */
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    if (remainder > 0.0) {
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	maskData[0] *= remainder;
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	maskData[radius - 1] *= remainder;
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    }
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    for (x = 0; x < radius; x++) {
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	/* this is done separately now due to the correction for float
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	   radius values above */
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	sum += maskData[x];
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    }
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    for (i = 0; i < radius; i++) {
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	maskData[i] *= (1.0 / sum);
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	/* printf("%f\n", maskData[i]); */
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    }
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    /* create a temporary memory buffer for the data for the first pass
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       memset the buffer to 0 so we can use it directly with += */
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    /* don't bother about alpha/padding */
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    buffer = calloc((size_t) (im->xsize * im->ysize * channels),
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		    sizeof(float));
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    if (buffer == NULL)
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	return ImagingError_MemoryError();
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    /* be nice to other threads while you go off to lala land */
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    ImagingSectionEnter(&cookie);
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    /* memset(buffer, 0, sizeof(buffer)); */
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    newPixel[0] = newPixel[1] = newPixel[2] = newPixel[3] = 0;
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    /* perform a blur on each line, and place in the temporary storage buffer */
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    for (y = 0; y < im->ysize; y++) {
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	if (channels == 1 && im->image8 != NULL) {
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	    line8 = (UINT8 *) im->image8[y];
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	} else {
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	    line = im->image32[y];
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	}
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	for (x = 0; x < im->xsize; x++) {
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	    newPixel[0] = newPixel[1] = newPixel[2] = newPixel[3] = 0;
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	    /* for each neighbor pixel, factor in its value/weighting to the
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	       current pixel */
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	    for (pix = 0; pix < radius; pix++) {
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		/* figure the offset of this neighbor pixel */
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		offset =
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		    (int) ((-((float) radius / 2.0) + (float) pix) + 0.5);
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		if (x + offset < 0)
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		    offset = -x;
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		else if (x + offset >= im->xsize)
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		    offset = im->xsize - x - 1;
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		/* add (neighbor pixel value * maskData[pix]) to the current
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		   pixel value */
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		if (channels == 1) {
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		    buffer[(y * im->xsize) + x] +=
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			((float) ((UINT8 *) & line8[x + offset])[0]) *
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			(maskData[pix]);
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		} else {
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		    for (channel = 0; channel < channels; channel++) {
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			buffer[(y * im->xsize * channels) +
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			       (x * channels) + channel] +=
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			    ((float) ((UINT8 *) & line[x + offset])
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			     [channel]) * (maskData[pix]);
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		    }
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		}
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	    }
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	}
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    }
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    /* perform a blur on each column in the buffer, and place in the
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       output image */
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    for (x = 0; x < im->xsize; x++) {
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	for (y = 0; y < im->ysize; y++) {
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	    newPixel[0] = newPixel[1] = newPixel[2] = newPixel[3] = 0;
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	    /* for each neighbor pixel, factor in its value/weighting to the
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	       current pixel */
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	    for (pix = 0; pix < radius; pix++) {
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		/* figure the offset of this neighbor pixel */
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		offset =
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		    (int) (-((float) radius / 2.0) + (float) pix + 0.5);
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		if (y + offset < 0)
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		    offset = -y;
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		else if (y + offset >= im->ysize)
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		    offset = im->ysize - y - 1;
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		/* add (neighbor pixel value * maskData[pix]) to the current
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		   pixel value */
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		for (channel = 0; channel < channels; channel++) {
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		    newPixel[channel] +=
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			(buffer
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			 [((y + offset) * im->xsize * channels) +
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			  (x * channels) + channel]) * (maskData[pix]);
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		}
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	    }
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	    /* if the image is RGBX or RGBA, copy the 4th channel data to
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	       newPixel, so it gets put in imOut */
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	    if (strcmp(im->mode, "RGBX") == 0
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		|| strcmp(im->mode, "RGBA") == 0) {
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	      newPixel[3] = (float) ((UINT8 *) & line[x + offset])[3];
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	    }
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	    /* pack the channels into an INT32 so we can put them back in
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	       the PIL image */
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	    newPixelFinals = 0;
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	    if (channels == 1) {
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		newPixelFinals = clip(newPixel[0]);
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	    } else {
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		/* for RGB, the fourth channel isn't used anyways, so just
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		   pack a 0 in there, this saves checking the mode for each
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		   pixel. */
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		/* this doesn't work on little-endian machines... fix it! */
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		newPixelFinals =
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		    clip(newPixel[0]) | clip(newPixel[1]) << 8 |
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		    clip(newPixel[2]) << 16 | clip(newPixel[3]) << 24;
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	    }
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	    /* set the resulting pixel in imOut */
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	    if (channels == 1) {
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		imOut->image8[y][x] = (UINT8) newPixelFinals;
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	    } else {
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		imOut->image32[y][x] = newPixelFinals;
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	    }
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	}
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    }
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    /* free the buffer */
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    free(buffer);
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    /* get the GIL back so Python knows who you are */
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    ImagingSectionLeave(&cookie);
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    return imOut;
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}
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Imaging ImagingGaussianBlur(Imaging im, Imaging imOut, float radius)
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{
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    int channels = 0;
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    int padding = 0;
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    if (strcmp(im->mode, "RGB") == 0) {
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	channels = 3;
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	padding = 1;
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    } else if (strcmp(im->mode, "RGBA") == 0) {
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	channels = 3;
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	padding = 1;
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    } else if (strcmp(im->mode, "RGBX") == 0) {
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	channels = 3;
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	padding = 1;
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    } else if (strcmp(im->mode, "CMYK") == 0) {
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	channels = 4;
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	padding = 0;
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    } else if (strcmp(im->mode, "L") == 0) {
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	channels = 1;
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	padding = 0;
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    } else
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	return ImagingError_ModeError();
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    return gblur(im, imOut, radius, channels, padding);
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}
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Imaging
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ImagingUnsharpMask(Imaging im, Imaging imOut, float radius, int percent,
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		   int threshold)
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{
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    ImagingSectionCookie cookie;
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    Imaging result;
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    int channel = 0;
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    int channels = 0;
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    int padding = 0;
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    int x = 0;
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    int y = 0;
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    int *lineIn = NULL;
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    int *lineOut = NULL;
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    UINT8 *lineIn8 = NULL;
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    UINT8 *lineOut8 = NULL;
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    int diff = 0;
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    INT32 newPixel = 0;
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    if (strcmp(im->mode, "RGB") == 0) {
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	channels = 3;
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	padding = 1;
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    } else if (strcmp(im->mode, "RGBA") == 0) {
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	channels = 3;
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	padding = 1;
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    } else if (strcmp(im->mode, "RGBX") == 0) {
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	channels = 3;
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	padding = 1;
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    } else if (strcmp(im->mode, "CMYK") == 0) {
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	channels = 4;
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	padding = 0;
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    } else if (strcmp(im->mode, "L") == 0) {
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	channels = 1;
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	padding = 0;
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    } else
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	return ImagingError_ModeError();
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    /* first, do a gaussian blur on the image, putting results in imOut
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       temporarily */
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    result = gblur(im, imOut, radius, channels, padding);
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    if (!result)
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	return NULL;
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    /* now, go through each pixel, compare "normal" pixel to blurred
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       pixel.  if the difference is more than threshold values, apply
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       the OPPOSITE correction to the amount of blur, multiplied by
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       percent. */
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    ImagingSectionEnter(&cookie);
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    for (y = 0; y < im->ysize; y++) {
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	if (channels == 1) {
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	    lineIn8 = im->image8[y];
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	    lineOut8 = imOut->image8[y];
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	} else {
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	    lineIn = im->image32[y];
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	    lineOut = imOut->image32[y];
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	}
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	for (x = 0; x < im->xsize; x++) {
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	    newPixel = 0;
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	    /* compare in/out pixels, apply sharpening */
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	    if (channels == 1) {
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		diff =
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		    ((UINT8 *) & lineIn8[x])[0] -
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		    ((UINT8 *) & lineOut8[x])[0];
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		if (abs(diff) > threshold) {
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		    /* add the diff*percent to the original pixel */
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		    imOut->image8[y][x] =
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			clip((((UINT8 *) & lineIn8[x])[0]) +
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			     (diff * ((float) percent) / 100.0));
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		} else {
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		    /* newPixel is the same as imIn */
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		    imOut->image8[y][x] = ((UINT8 *) & lineIn8[x])[0];
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		}
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	    }
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	    else {
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		for (channel = 0; channel < channels; channel++) {
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		    diff = (int) ((((UINT8 *) & lineIn[x])[channel]) -
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				  (((UINT8 *) & lineOut[x])[channel]));
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		    if (abs(diff) > threshold) {
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			/* add the diff*percent to the original pixel
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			   this may not work for little-endian systems, fix it! */
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			newPixel =
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			    newPixel |
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			    clip((float) (((UINT8 *) & lineIn[x])[channel])
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				 +
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				 (diff *
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				  (((float) percent /
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				    100.0)))) << (channel * 8);
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		    } else {
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			/* newPixel is the same as imIn
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			   this may not work for little-endian systems, fix it! */
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			newPixel =
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			    newPixel | ((UINT8 *) & lineIn[x])[channel] <<
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			    (channel * 8);
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		    }
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		}
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		if (strcmp(im->mode, "RGBX") == 0
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		    || strcmp(im->mode, "RGBA") == 0) {
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		    /* preserve the alpha channel
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		       this may not work for little-endian systems, fix it! */
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		    newPixel =
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			newPixel | ((UINT8 *) & lineIn[x])[channel] << 24;
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		}
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		imOut->image32[y][x] = newPixel;
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	    }
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	}
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    }
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    ImagingSectionLeave(&cookie);
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    return imOut;
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}
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