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Merge pull request #970 from homm/fix-bicubic-stretch
Fix bicubic stretch interpolation
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commit
20be641329
40
Tests/test_imaging_stretch.py
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40
Tests/test_imaging_stretch.py
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"""
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Tests for ImagingCore.stretch functionality.
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"""
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from helper import unittest, PillowTestCase
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from PIL import Image
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im = Image.open("Tests/images/hopper.ppm").copy()
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class TestImagingStretch(PillowTestCase):
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def test_modes(self):
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self.assertRaises(ValueError, im.convert("1").im.stretch,
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(15, 12), Image.ANTIALIAS)
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self.assertRaises(ValueError, im.convert("P").im.stretch,
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(15, 12), Image.ANTIALIAS)
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for mode in ["L", "I", "F", "RGB", "RGBA", "CMYK", "YCbCr"]:
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s = im.convert(mode).im
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r = s.stretch((15, 12), Image.ANTIALIAS)
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self.assertEqual(r.mode, mode)
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self.assertEqual(r.size, (15, 12))
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self.assertEqual(r.bands, s.bands)
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def test_reduce_filters(self):
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# There is no Image.NEAREST because im.stretch implementation
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# is not NEAREST for reduction. It should be removed
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# or renamed to supersampling.
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for f in [Image.BILINEAR, Image.BICUBIC, Image.ANTIALIAS]:
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r = im.im.stretch((15, 12), f)
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self.assertEqual(r.mode, "RGB")
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self.assertEqual(r.size, (15, 12))
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def test_enlarge_filters(self):
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for f in [Image.BILINEAR, Image.BICUBIC, Image.ANTIALIAS]:
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r = im.im.stretch((764, 414), f)
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self.assertEqual(r.mode, "RGB")
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self.assertEqual(r.size, (764, 414))
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@ -64,16 +64,14 @@ static struct filter BILINEAR = { bilinear_filter, 1.0 };
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static inline float bicubic_filter(float x)
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static inline float bicubic_filter(float x)
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{
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{
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/* FIXME: double-check this algorithm */
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/* http://en.wikipedia.org/wiki/Bicubic_interpolation#Bicubic_convolution_algorithm */
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/* FIXME: for best results, "a" should be -0.5 to -1.0, but we'll
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#define a -0.5
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set it to zero for now, to match the 1.1 magnifying filter */
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#define a 0.0
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if (x < 0.0)
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if (x < 0.0)
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x = -x;
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x = -x;
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if (x < 1.0)
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if (x < 1.0)
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return (((a + 2.0) * x) - (a + 3.0)) * x*x + 1;
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return ((a + 2.0) * x - (a + 3.0)) * x*x + 1;
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if (x < 2.0)
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if (x < 2.0)
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return (((a * x) - 5*a) * x + 8) * x - 4*a;
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return (((x - 5) * x + 8) * x - 4) * a;
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return 0.0;
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return 0.0;
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#undef a
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#undef a
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}
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}
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@ -95,7 +93,10 @@ ImagingStretch(Imaging imOut, Imaging imIn, int filter)
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/* check modes */
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/* check modes */
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if (!imOut || !imIn || strcmp(imIn->mode, imOut->mode) != 0)
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if (!imOut || !imIn || strcmp(imIn->mode, imOut->mode) != 0)
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return (Imaging) ImagingError_ModeError();
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return (Imaging) ImagingError_ModeError();
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if (strcmp(imIn->mode, "P") == 0 || strcmp(imIn->mode, "1") == 0)
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return (Imaging) ImagingError_ModeError();
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/* check filter */
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/* check filter */
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switch (filter) {
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switch (filter) {
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@ -124,14 +125,13 @@ ImagingStretch(Imaging imOut, Imaging imIn, int filter)
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/* prepare for vertical stretch */
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/* prepare for vertical stretch */
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filterscale = scale = (float) imIn->ysize / imOut->ysize;
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filterscale = scale = (float) imIn->ysize / imOut->ysize;
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} else
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} else
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return (Imaging) ImagingError_Mismatch();
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return (Imaging) ImagingError_Mismatch();
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/* determine support size (length of resampling filter) */
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/* determine support size (length of resampling filter) */
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support = filterp->support;
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support = filterp->support;
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if (filterscale < 1.0) {
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if (filterscale < 1.0) {
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filterscale = 1.0;
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filterscale = 1.0;
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support = 0.5;
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}
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}
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support = support * filterscale;
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support = support * filterscale;
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@ -154,7 +154,7 @@ ImagingStretch(Imaging imOut, Imaging imIn, int filter)
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ymin = 0.0;
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ymin = 0.0;
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ymax = ceil(center + support);
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ymax = ceil(center + support);
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if (ymax > (float) imIn->ysize)
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if (ymax > (float) imIn->ysize)
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ymax = (float) imIn->ysize;
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ymax = (float) imIn->ysize;
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for (y = (int) ymin; y < (int) ymax; y++) {
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for (y = (int) ymin; y < (int) ymax; y++) {
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float w = filterp->filter((y - center + 0.5) * ss) * ss;
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float w = filterp->filter((y - center + 0.5) * ss) * ss;
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k[y - (int) ymin] = w;
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k[y - (int) ymin] = w;
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@ -230,7 +230,7 @@ ImagingStretch(Imaging imOut, Imaging imIn, int filter)
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xmin = 0.0;
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xmin = 0.0;
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xmax = ceil(center + support);
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xmax = ceil(center + support);
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if (xmax > (float) imIn->xsize)
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if (xmax > (float) imIn->xsize)
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xmax = (float) imIn->xsize;
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xmax = (float) imIn->xsize;
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for (x = (int) xmin; x < (int) xmax; x++) {
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for (x = (int) xmin; x < (int) xmax; x++) {
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float w = filterp->filter((x - center + 0.5) * ss) * ss;
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float w = filterp->filter((x - center + 0.5) * ss) * ss;
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k[x - (int) xmin] = w;
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k[x - (int) xmin] = w;
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