mirror of
https://github.com/python-pillow/Pillow.git
synced 2025-11-04 01:47:47 +03:00
Merge pull request #961 from homm/fast-box-blur
Merge Fast Gaussian Blur
This commit is contained in:
wiredfool
commit
8a3302ba5d
|
|
@ -20,6 +20,7 @@
|
|||
from PIL import Image
|
||||
from PIL._util import isStringType
|
||||
import operator
|
||||
import math
|
||||
from functools import reduce
|
||||
|
||||
|
||||
|
|
@ -441,3 +442,22 @@ def unsharp_mask(im, radius=None, percent=None, threshold=None):
|
|||
return im.im.unsharp_mask(radius, percent, threshold)
|
||||
|
||||
usm = unsharp_mask
|
||||
|
||||
|
||||
def box_blur(image, radius):
|
||||
"""
|
||||
Blur the image by setting each pixel to the average value of the pixels
|
||||
in a square box extending radius pixels in each direction.
|
||||
Supports float radius of arbitrary size. Uses an optimized implementation
|
||||
which runs in linear time relative to the size of the image
|
||||
for any radius value.
|
||||
|
||||
:param image: The image to blur.
|
||||
:param radius: Size of the box in one direction. Radius 0 does not blur,
|
||||
returns an identical image. Radius 1 takes 1 pixel
|
||||
in each direction, i.e. 9 pixels in total.
|
||||
:return: An image.
|
||||
"""
|
||||
image.load()
|
||||
|
||||
return image._new(image.im.box_blur(radius))
|
||||
|
|
|
|||
BIN
Tests/images/color_snakes.png
Normal file
BIN
Tests/images/color_snakes.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 1.3 KiB |
229
Tests/test_box_blur.py
Normal file
229
Tests/test_box_blur.py
Normal file
|
|
@ -0,0 +1,229 @@
|
|||
from helper import unittest, PillowTestCase
|
||||
|
||||
from PIL import Image, ImageOps
|
||||
|
||||
|
||||
sample = Image.new("L", (7, 5))
|
||||
sample.putdata(sum([
|
||||
[210, 50, 20, 10, 220, 230, 80],
|
||||
[190, 210, 20, 180, 170, 40, 110],
|
||||
[120, 210, 250, 60, 220, 0, 220],
|
||||
[220, 40, 230, 80, 130, 250, 40],
|
||||
[250, 0, 80, 30, 60, 20, 110],
|
||||
], []))
|
||||
|
||||
|
||||
class ImageMock(object):
|
||||
def __init__(self):
|
||||
self.im = self
|
||||
|
||||
def load(self):
|
||||
pass
|
||||
|
||||
def _new(self, im):
|
||||
return im
|
||||
|
||||
def box_blur(self, radius, n):
|
||||
return radius, n
|
||||
|
||||
|
||||
class TestBoxBlurApi(PillowTestCase):
|
||||
|
||||
def test_imageops_box_blur(self):
|
||||
i = ImageOps.box_blur(sample, 1)
|
||||
self.assertEqual(i.mode, sample.mode)
|
||||
self.assertEqual(i.size, sample.size)
|
||||
self.assertIsInstance(i, Image.Image)
|
||||
|
||||
|
||||
class TestBoxBlur(PillowTestCase):
|
||||
|
||||
def box_blur(self, image, radius=1, n=1):
|
||||
return image._new(image.im.box_blur(radius, n))
|
||||
|
||||
def assertImage(self, im, data, delta=0):
|
||||
it = iter(im.getdata())
|
||||
for data_row in data:
|
||||
im_row = [next(it) for _ in range(im.size[0])]
|
||||
if any(
|
||||
abs(data_v - im_v) > delta
|
||||
for data_v, im_v in zip(data_row, im_row)
|
||||
):
|
||||
self.assertEqual(im_row, data_row)
|
||||
self.assertRaises(StopIteration, next, it)
|
||||
|
||||
def assertBlur(self, im, radius, data, passes=1, delta=0):
|
||||
# check grayscale image
|
||||
self.assertImage(self.box_blur(im, radius, passes), data, delta)
|
||||
rgba = Image.merge('RGBA', (im, im, im, im))
|
||||
for band in self.box_blur(rgba, radius, passes).split():
|
||||
self.assertImage(band, data, delta)
|
||||
|
||||
def test_color_modes(self):
|
||||
self.assertRaises(ValueError, self.box_blur, sample.convert("1"))
|
||||
self.assertRaises(ValueError, self.box_blur, sample.convert("P"))
|
||||
self.box_blur(sample.convert("L"))
|
||||
self.box_blur(sample.convert("LA"))
|
||||
self.assertRaises(ValueError, self.box_blur, sample.convert("I"))
|
||||
self.assertRaises(ValueError, self.box_blur, sample.convert("F"))
|
||||
self.box_blur(sample.convert("RGB"))
|
||||
self.box_blur(sample.convert("RGBA"))
|
||||
self.box_blur(sample.convert("CMYK"))
|
||||
self.assertRaises(ValueError, self.box_blur, sample.convert("YCbCr"))
|
||||
|
||||
def test_radius_0(self):
|
||||
self.assertBlur(
|
||||
sample, 0,
|
||||
[
|
||||
[210, 50, 20, 10, 220, 230, 80],
|
||||
[190, 210, 20, 180, 170, 40, 110],
|
||||
[120, 210, 250, 60, 220, 0, 220],
|
||||
[220, 40, 230, 80, 130, 250, 40],
|
||||
[250, 0, 80, 30, 60, 20, 110],
|
||||
]
|
||||
)
|
||||
|
||||
def test_radius_0_02(self):
|
||||
self.assertBlur(
|
||||
sample, 0.02,
|
||||
[
|
||||
[206, 55, 20, 17, 215, 223, 83],
|
||||
[189, 203, 31, 171, 169, 46, 110],
|
||||
[125, 206, 241, 69, 210, 13, 210],
|
||||
[215, 49, 221, 82, 131, 235, 48],
|
||||
[244, 7, 80, 32, 60, 27, 107],
|
||||
],
|
||||
delta=2,
|
||||
)
|
||||
|
||||
def test_radius_0_05(self):
|
||||
self.assertBlur(
|
||||
sample, 0.05,
|
||||
[
|
||||
[202, 62, 22, 27, 209, 215, 88],
|
||||
[188, 194, 44, 161, 168, 56, 111],
|
||||
[131, 201, 229, 81, 198, 31, 198],
|
||||
[209, 62, 209, 86, 133, 216, 59],
|
||||
[237, 17, 80, 36, 60, 35, 103],
|
||||
],
|
||||
delta=2,
|
||||
)
|
||||
|
||||
def test_radius_0_1(self):
|
||||
self.assertBlur(
|
||||
sample, 0.1,
|
||||
[
|
||||
[196, 72, 24, 40, 200, 203, 93],
|
||||
[187, 183, 62, 148, 166, 68, 111],
|
||||
[139, 193, 213, 96, 182, 54, 182],
|
||||
[201, 78, 193, 91, 133, 191, 73],
|
||||
[227, 31, 80, 42, 61, 47, 99],
|
||||
],
|
||||
delta=1,
|
||||
)
|
||||
|
||||
def test_radius_0_5(self):
|
||||
self.assertBlur(
|
||||
sample, 0.5,
|
||||
[
|
||||
[176, 101, 46, 83, 163, 165, 111],
|
||||
[176, 149, 108, 122, 144, 120, 117],
|
||||
[164, 171, 159, 141, 134, 119, 129],
|
||||
[170, 136, 133, 114, 116, 124, 109],
|
||||
[184, 95, 72, 70, 69, 81, 89],
|
||||
],
|
||||
delta=1,
|
||||
)
|
||||
|
||||
def test_radius_1(self):
|
||||
self.assertBlur(
|
||||
sample, 1,
|
||||
[
|
||||
[170, 109, 63, 97, 146, 153, 116],
|
||||
[168, 142, 112, 128, 126, 143, 121],
|
||||
[169, 166, 142, 149, 126, 131, 114],
|
||||
[159, 156, 109, 127, 94, 117, 112],
|
||||
[164, 128, 63, 87, 76, 89, 90],
|
||||
],
|
||||
delta=1,
|
||||
)
|
||||
|
||||
def test_radius_1_5(self):
|
||||
self.assertBlur(
|
||||
sample, 1.5,
|
||||
[
|
||||
[155, 120, 105, 112, 124, 137, 130],
|
||||
[160, 136, 124, 125, 127, 134, 130],
|
||||
[166, 147, 130, 125, 120, 121, 119],
|
||||
[168, 145, 119, 109, 103, 105, 110],
|
||||
[168, 134, 96, 85, 85, 89, 97],
|
||||
],
|
||||
delta=1,
|
||||
)
|
||||
|
||||
def test_radius_bigger_then_half(self):
|
||||
self.assertBlur(
|
||||
sample, 3,
|
||||
[
|
||||
[144, 145, 142, 128, 114, 115, 117],
|
||||
[148, 145, 137, 122, 109, 111, 112],
|
||||
[152, 145, 131, 117, 103, 107, 108],
|
||||
[156, 144, 126, 111, 97, 102, 103],
|
||||
[160, 144, 121, 106, 92, 98, 99],
|
||||
],
|
||||
delta=1,
|
||||
)
|
||||
|
||||
def test_radius_bigger_then_width(self):
|
||||
self.assertBlur(
|
||||
sample, 10,
|
||||
[
|
||||
[158, 153, 147, 141, 135, 129, 123],
|
||||
[159, 153, 147, 141, 136, 130, 124],
|
||||
[159, 154, 148, 142, 136, 130, 124],
|
||||
[160, 154, 148, 142, 137, 131, 125],
|
||||
[160, 155, 149, 143, 137, 131, 125],
|
||||
],
|
||||
delta=0,
|
||||
)
|
||||
|
||||
def test_exteme_large_radius(self):
|
||||
self.assertBlur(
|
||||
sample, 600,
|
||||
[
|
||||
[162, 162, 162, 162, 162, 162, 162],
|
||||
[162, 162, 162, 162, 162, 162, 162],
|
||||
[162, 162, 162, 162, 162, 162, 162],
|
||||
[162, 162, 162, 162, 162, 162, 162],
|
||||
[162, 162, 162, 162, 162, 162, 162],
|
||||
],
|
||||
delta=1,
|
||||
)
|
||||
|
||||
def test_two_passes(self):
|
||||
self.assertBlur(
|
||||
sample, 1,
|
||||
[
|
||||
[153, 123, 102, 109, 132, 135, 129],
|
||||
[159, 138, 123, 121, 133, 131, 126],
|
||||
[162, 147, 136, 124, 127, 121, 121],
|
||||
[159, 140, 125, 108, 111, 106, 108],
|
||||
[154, 126, 105, 87, 94, 93, 97],
|
||||
],
|
||||
passes=2,
|
||||
delta=1,
|
||||
)
|
||||
|
||||
def test_three_passes(self):
|
||||
self.assertBlur(
|
||||
sample, 1,
|
||||
[
|
||||
[146, 131, 116, 118, 126, 131, 130],
|
||||
[151, 138, 125, 123, 126, 128, 127],
|
||||
[154, 143, 129, 123, 120, 120, 119],
|
||||
[152, 139, 122, 113, 108, 108, 108],
|
||||
[148, 132, 112, 102, 97, 99, 100],
|
||||
],
|
||||
passes=3,
|
||||
delta=1,
|
||||
)
|
||||
|
|
@ -5,6 +5,7 @@ from PIL import ImageOps
|
|||
from PIL import ImageFilter
|
||||
|
||||
im = Image.open("Tests/images/hopper.ppm")
|
||||
snakes = Image.open("Tests/images/color_snakes.png")
|
||||
|
||||
|
||||
class TestImageOpsUsm(PillowTestCase):
|
||||
|
|
@ -16,7 +17,7 @@ class TestImageOpsUsm(PillowTestCase):
|
|||
self.assertEqual(i.size, (128, 128))
|
||||
# i.save("blur.bmp")
|
||||
|
||||
i = ImageOps.usm(im, 2.0, 125, 8)
|
||||
i = ImageOps.unsharp_mask(im, 2.0, 125, 8)
|
||||
self.assertEqual(i.mode, "RGB")
|
||||
self.assertEqual(i.size, (128, 128))
|
||||
# i.save("usm.bmp")
|
||||
|
|
@ -33,7 +34,7 @@ class TestImageOpsUsm(PillowTestCase):
|
|||
self.assertEqual(i.mode, "RGB")
|
||||
self.assertEqual(i.size, (128, 128))
|
||||
|
||||
def test_usm(self):
|
||||
def test_usm_formats(self):
|
||||
|
||||
usm = ImageOps.unsharp_mask
|
||||
self.assertRaises(ValueError, lambda: usm(im.convert("1")))
|
||||
|
|
@ -45,7 +46,7 @@ class TestImageOpsUsm(PillowTestCase):
|
|||
usm(im.convert("CMYK"))
|
||||
self.assertRaises(ValueError, lambda: usm(im.convert("YCbCr")))
|
||||
|
||||
def test_blur(self):
|
||||
def test_blur_formats(self):
|
||||
|
||||
blur = ImageOps.gaussian_blur
|
||||
self.assertRaises(ValueError, lambda: blur(im.convert("1")))
|
||||
|
|
@ -57,6 +58,32 @@ class TestImageOpsUsm(PillowTestCase):
|
|||
blur(im.convert("CMYK"))
|
||||
self.assertRaises(ValueError, lambda: blur(im.convert("YCbCr")))
|
||||
|
||||
def test_usm_accuracy(self):
|
||||
|
||||
src = snakes.convert('RGB')
|
||||
i = src._new(ImageOps.unsharp_mask(src, 5, 1024, 0))
|
||||
# Image should not be changed because it have only 0 and 255 levels.
|
||||
self.assertEqual(i.tobytes(), src.tobytes())
|
||||
|
||||
def test_blur_accuracy(self):
|
||||
|
||||
i = snakes._new(ImageOps.gaussian_blur(snakes, .4))
|
||||
# These pixels surrounded with pixels with 255 intensity.
|
||||
# They must be very close to 255.
|
||||
for x, y, c in [(1, 0, 1), (2, 0, 1), (7, 8, 1), (8, 8, 1), (2, 9, 1),
|
||||
(7, 3, 0), (8, 3, 0), (5, 8, 0), (5, 9, 0), (1, 3, 0),
|
||||
(4, 3, 2), (4, 2, 2)]:
|
||||
self.assertGreaterEqual(i.im.getpixel((x, y))[c], 250)
|
||||
# Fuzzy match.
|
||||
gp = lambda x, y: i.im.getpixel((x, y))
|
||||
self.assertTrue(236 <= gp(7, 4)[0] <= 239)
|
||||
self.assertTrue(236 <= gp(7, 5)[2] <= 239)
|
||||
self.assertTrue(236 <= gp(7, 6)[2] <= 239)
|
||||
self.assertTrue(236 <= gp(7, 7)[1] <= 239)
|
||||
self.assertTrue(236 <= gp(8, 4)[0] <= 239)
|
||||
self.assertTrue(236 <= gp(8, 5)[2] <= 239)
|
||||
self.assertTrue(236 <= gp(8, 6)[2] <= 239)
|
||||
self.assertTrue(236 <= gp(8, 7)[1] <= 239)
|
||||
|
||||
if __name__ == '__main__':
|
||||
unittest.main()
|
||||
|
|
|
|||
32
_imaging.c
32
_imaging.c
|
|
@ -863,7 +863,8 @@ _gaussian_blur(ImagingObject* self, PyObject* args)
|
|||
Imaging imOut;
|
||||
|
||||
float radius = 0;
|
||||
if (!PyArg_ParseTuple(args, "f", &radius))
|
||||
int passes = 3;
|
||||
if (!PyArg_ParseTuple(args, "f|i", &radius, &passes))
|
||||
return NULL;
|
||||
|
||||
imIn = self->image;
|
||||
|
|
@ -871,7 +872,7 @@ _gaussian_blur(ImagingObject* self, PyObject* args)
|
|||
if (!imOut)
|
||||
return NULL;
|
||||
|
||||
if (!ImagingGaussianBlur(imIn, imOut, radius))
|
||||
if (!ImagingGaussianBlur(imOut, imIn, radius, passes))
|
||||
return NULL;
|
||||
|
||||
return PyImagingNew(imOut);
|
||||
|
|
@ -1769,18 +1770,39 @@ _unsharp_mask(ImagingObject* self, PyObject* args)
|
|||
if (!PyArg_ParseTuple(args, "fii", &radius, &percent, &threshold))
|
||||
return NULL;
|
||||
|
||||
imIn = self->image;
|
||||
imOut = ImagingNew(imIn->mode, imIn->xsize, imIn->ysize);
|
||||
if (!imOut)
|
||||
return NULL;
|
||||
|
||||
if (!ImagingUnsharpMask(imOut, imIn, radius, percent, threshold))
|
||||
return NULL;
|
||||
|
||||
return PyImagingNew(imOut);
|
||||
}
|
||||
#endif
|
||||
|
||||
static PyObject*
|
||||
_box_blur(ImagingObject* self, PyObject* args)
|
||||
{
|
||||
Imaging imIn;
|
||||
Imaging imOut;
|
||||
|
||||
float radius;
|
||||
int n = 1;
|
||||
if (!PyArg_ParseTuple(args, "f|i", &radius, &n))
|
||||
return NULL;
|
||||
|
||||
imIn = self->image;
|
||||
imOut = ImagingNew(imIn->mode, imIn->xsize, imIn->ysize);
|
||||
if (!imOut)
|
||||
return NULL;
|
||||
|
||||
if (!ImagingUnsharpMask(imIn, imOut, radius, percent, threshold))
|
||||
if (!ImagingBoxBlur(imOut, imIn, radius, n))
|
||||
return NULL;
|
||||
|
||||
return PyImagingNew(imOut);
|
||||
}
|
||||
#endif
|
||||
|
||||
/* -------------------------------------------------------------------- */
|
||||
|
||||
|
|
@ -3056,6 +3078,8 @@ static struct PyMethodDef methods[] = {
|
|||
{"unsharp_mask", (PyCFunction)_unsharp_mask, 1},
|
||||
#endif
|
||||
|
||||
{"box_blur", (PyCFunction)_box_blur, 1},
|
||||
|
||||
#ifdef WITH_EFFECTS
|
||||
/* Special effects */
|
||||
{"effect_spread", (PyCFunction)_effect_spread, 1},
|
||||
|
|
|
|||
308
libImaging/BoxBlur.c
Normal file
308
libImaging/BoxBlur.c
Normal file
|
|
@ -0,0 +1,308 @@
|
|||
#include "Python.h"
|
||||
#include "Imaging.h"
|
||||
|
||||
|
||||
#define MAX(x, y) (((x) > (y)) ? (x) : (y))
|
||||
#define MIN(x, y) (((x) < (y)) ? (x) : (y))
|
||||
|
||||
|
||||
typedef UINT8 pixel[4];
|
||||
|
||||
void inline
|
||||
ImagingLineBoxBlur32(pixel *lineOut, pixel *lineIn, int lastx, int radius, int edgeA,
|
||||
int edgeB, UINT32 ww, UINT32 fw)
|
||||
{
|
||||
int x;
|
||||
UINT32 acc[4];
|
||||
UINT32 bulk[4];
|
||||
|
||||
#define MOVE_ACC(acc, subtract, add) \
|
||||
acc[0] += lineIn[add][0] - lineIn[subtract][0]; \
|
||||
acc[1] += lineIn[add][1] - lineIn[subtract][1]; \
|
||||
acc[2] += lineIn[add][2] - lineIn[subtract][2]; \
|
||||
acc[3] += lineIn[add][3] - lineIn[subtract][3];
|
||||
|
||||
#define ADD_FAR(bulk, acc, left, right) \
|
||||
bulk[0] = (acc[0] * ww) + (lineIn[left][0] + lineIn[right][0]) * fw; \
|
||||
bulk[1] = (acc[1] * ww) + (lineIn[left][1] + lineIn[right][1]) * fw; \
|
||||
bulk[2] = (acc[2] * ww) + (lineIn[left][2] + lineIn[right][2]) * fw; \
|
||||
bulk[3] = (acc[3] * ww) + (lineIn[left][3] + lineIn[right][3]) * fw;
|
||||
|
||||
#define SAVE(x, bulk) \
|
||||
lineOut[x][0] = (UINT8)((bulk[0] + (1 << 23)) >> 24); \
|
||||
lineOut[x][1] = (UINT8)((bulk[1] + (1 << 23)) >> 24); \
|
||||
lineOut[x][2] = (UINT8)((bulk[2] + (1 << 23)) >> 24); \
|
||||
lineOut[x][3] = (UINT8)((bulk[3] + (1 << 23)) >> 24);
|
||||
|
||||
/* Compute acc for -1 pixel (outside of image):
|
||||
From "-radius-1" to "-1" get first pixel,
|
||||
then from "0" to "radius-1". */
|
||||
acc[0] = lineIn[0][0] * (radius + 1);
|
||||
acc[1] = lineIn[0][1] * (radius + 1);
|
||||
acc[2] = lineIn[0][2] * (radius + 1);
|
||||
acc[3] = lineIn[0][3] * (radius + 1);
|
||||
/* As radius can be bigger than xsize, iterate to edgeA -1. */
|
||||
for (x = 0; x < edgeA - 1; x++) {
|
||||
acc[0] += lineIn[x][0];
|
||||
acc[1] += lineIn[x][1];
|
||||
acc[2] += lineIn[x][2];
|
||||
acc[3] += lineIn[x][3];
|
||||
}
|
||||
/* Then multiply remainder to last x. */
|
||||
acc[0] += lineIn[lastx][0] * (radius - edgeA + 1);
|
||||
acc[1] += lineIn[lastx][1] * (radius - edgeA + 1);
|
||||
acc[2] += lineIn[lastx][2] * (radius - edgeA + 1);
|
||||
acc[3] += lineIn[lastx][3] * (radius - edgeA + 1);
|
||||
|
||||
if (edgeA <= edgeB)
|
||||
{
|
||||
/* Subtract pixel from left ("0").
|
||||
Add pixels from radius. */
|
||||
for (x = 0; x < edgeA; x++) {
|
||||
MOVE_ACC(acc, 0, x + radius);
|
||||
ADD_FAR(bulk, acc, 0, x + radius + 1);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
/* Subtract previous pixel from "-radius".
|
||||
Add pixels from radius. */
|
||||
for (x = edgeA; x < edgeB; x++) {
|
||||
MOVE_ACC(acc, x - radius - 1, x + radius);
|
||||
ADD_FAR(bulk, acc, x - radius - 1, x + radius + 1);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
/* Subtract previous pixel from "-radius".
|
||||
Add last pixel. */
|
||||
for (x = edgeB; x <= lastx; x++) {
|
||||
MOVE_ACC(acc, x - radius - 1, lastx);
|
||||
ADD_FAR(bulk, acc, x - radius - 1, lastx);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
for (x = 0; x < edgeB; x++) {
|
||||
MOVE_ACC(acc, 0, x + radius);
|
||||
ADD_FAR(bulk, acc, 0, x + radius + 1);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
for (x = edgeB; x < edgeA; x++) {
|
||||
MOVE_ACC(acc, 0, lastx);
|
||||
ADD_FAR(bulk, acc, 0, lastx);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
for (x = edgeA; x <= lastx; x++) {
|
||||
MOVE_ACC(acc, x - radius - 1, lastx);
|
||||
ADD_FAR(bulk, acc, x - radius - 1, lastx);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
}
|
||||
|
||||
#undef MOVE_ACC
|
||||
#undef ADD_FAR
|
||||
#undef SAVE
|
||||
}
|
||||
|
||||
|
||||
void inline
|
||||
ImagingLineBoxBlur8(UINT8 *lineOut, UINT8 *lineIn, int lastx, int radius, int edgeA,
|
||||
int edgeB, UINT32 ww, UINT32 fw)
|
||||
{
|
||||
int x;
|
||||
UINT32 acc;
|
||||
UINT32 bulk;
|
||||
|
||||
#define MOVE_ACC(acc, subtract, add) \
|
||||
acc += lineIn[add] - lineIn[subtract];
|
||||
|
||||
#define ADD_FAR(bulk, acc, left, right) \
|
||||
bulk = (acc * ww) + (lineIn[left] + lineIn[right]) * fw;
|
||||
|
||||
#define SAVE(x, bulk) \
|
||||
lineOut[x] = (UINT8)((bulk + (1 << 23)) >> 24)
|
||||
|
||||
acc = lineIn[0] * (radius + 1);
|
||||
for (x = 0; x < edgeA - 1; x++) {
|
||||
acc += lineIn[x];
|
||||
}
|
||||
acc += lineIn[lastx] * (radius - edgeA + 1);
|
||||
|
||||
if (edgeA <= edgeB)
|
||||
{
|
||||
for (x = 0; x < edgeA; x++) {
|
||||
MOVE_ACC(acc, 0, x + radius);
|
||||
ADD_FAR(bulk, acc, 0, x + radius + 1);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
for (x = edgeA; x < edgeB; x++) {
|
||||
MOVE_ACC(acc, x - radius - 1, x + radius);
|
||||
ADD_FAR(bulk, acc, x - radius - 1, x + radius + 1);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
for (x = edgeB; x <= lastx; x++) {
|
||||
MOVE_ACC(acc, x - radius - 1, lastx);
|
||||
ADD_FAR(bulk, acc, x - radius - 1, lastx);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
for (x = 0; x < edgeB; x++) {
|
||||
MOVE_ACC(acc, 0, x + radius);
|
||||
ADD_FAR(bulk, acc, 0, x + radius + 1);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
for (x = edgeB; x < edgeA; x++) {
|
||||
MOVE_ACC(acc, 0, lastx);
|
||||
ADD_FAR(bulk, acc, 0, lastx);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
for (x = edgeA; x <= lastx; x++) {
|
||||
MOVE_ACC(acc, x - radius - 1, lastx);
|
||||
ADD_FAR(bulk, acc, x - radius - 1, lastx);
|
||||
SAVE(x, bulk);
|
||||
}
|
||||
}
|
||||
|
||||
#undef MOVE_ACC
|
||||
#undef ADD_FAR
|
||||
#undef SAVE
|
||||
}
|
||||
|
||||
|
||||
|
||||
Imaging
|
||||
ImagingHorizontalBoxBlur(Imaging imOut, Imaging imIn, float floatRadius)
|
||||
{
|
||||
ImagingSectionCookie cookie;
|
||||
|
||||
int y;
|
||||
|
||||
int radius = (int) floatRadius;
|
||||
UINT32 ww = (UINT32) (1 << 24) / (floatRadius * 2 + 1);
|
||||
UINT32 fw = ((1 << 24) - (radius * 2 + 1) * ww) / 2;
|
||||
|
||||
int edgeA = MIN(radius + 1, imIn->xsize);
|
||||
int edgeB = MAX(imIn->xsize - radius - 1, 0);
|
||||
|
||||
UINT32 *lineOut = calloc(imIn->xsize, sizeof(UINT32));
|
||||
if (lineOut == NULL)
|
||||
return ImagingError_MemoryError();
|
||||
|
||||
// printf(">>> %d %d %d\n", radius, ww, fw);
|
||||
|
||||
ImagingSectionEnter(&cookie);
|
||||
|
||||
if (imIn->image8)
|
||||
{
|
||||
for (y = 0; y < imIn->ysize; y++) {
|
||||
ImagingLineBoxBlur8(
|
||||
(imIn == imOut ? (UINT8 *) lineOut : imOut->image8[y]),
|
||||
imIn->image8[y],
|
||||
imIn->xsize - 1,
|
||||
radius, edgeA, edgeB,
|
||||
ww, fw
|
||||
);
|
||||
if (imIn == imOut) {
|
||||
// Commit.
|
||||
memcpy(imOut->image8[y], lineOut, imIn->xsize);
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
for (y = 0; y < imIn->ysize; y++) {
|
||||
ImagingLineBoxBlur32(
|
||||
imIn == imOut ? (pixel *) lineOut : (pixel *) imOut->image32[y],
|
||||
(pixel *) imIn->image32[y],
|
||||
imIn->xsize - 1,
|
||||
radius, edgeA, edgeB,
|
||||
ww, fw
|
||||
);
|
||||
if (imIn == imOut) {
|
||||
// Commit.
|
||||
memcpy(imOut->image32[y], lineOut, imIn->xsize * 4);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
ImagingSectionLeave(&cookie);
|
||||
|
||||
free(lineOut);
|
||||
|
||||
return imOut;
|
||||
}
|
||||
|
||||
|
||||
Imaging
|
||||
ImagingBoxBlur(Imaging imOut, Imaging imIn, float radius, int n)
|
||||
{
|
||||
int i;
|
||||
|
||||
if (n < 1) {
|
||||
return ImagingError_ValueError(
|
||||
"number of passes must be greater than zero"
|
||||
);
|
||||
}
|
||||
|
||||
if (strcmp(imIn->mode, imOut->mode) ||
|
||||
imIn->type != imOut->type ||
|
||||
imIn->bands != imOut->bands ||
|
||||
imIn->xsize != imOut->xsize ||
|
||||
imIn->ysize != imOut->ysize)
|
||||
return ImagingError_Mismatch();
|
||||
|
||||
if (imIn->type != IMAGING_TYPE_UINT8)
|
||||
return ImagingError_ModeError();
|
||||
|
||||
if (!(strcmp(imIn->mode, "RGB") == 0 ||
|
||||
strcmp(imIn->mode, "RGBA") == 0 ||
|
||||
strcmp(imIn->mode, "RGBX") == 0 ||
|
||||
strcmp(imIn->mode, "CMYK") == 0 ||
|
||||
strcmp(imIn->mode, "L") == 0 ||
|
||||
strcmp(imIn->mode, "LA") == 0))
|
||||
return ImagingError_ModeError();
|
||||
|
||||
Imaging imTransposed = ImagingNew(imIn->mode, imIn->ysize, imIn->xsize);
|
||||
if (!imTransposed)
|
||||
return NULL;
|
||||
|
||||
/* Apply blur in one dimension.
|
||||
Use imOut as a destination at first pass,
|
||||
then use imOut as a source too. */
|
||||
ImagingHorizontalBoxBlur(imOut, imIn, radius);
|
||||
for (i = 1; i < n; i ++) {
|
||||
ImagingHorizontalBoxBlur(imOut, imOut, radius);
|
||||
}
|
||||
/* Transpose result for blur in another direction. */
|
||||
ImagingTranspose(imTransposed, imOut);
|
||||
|
||||
/* Reuse imTransposed as a source and destination there. */
|
||||
for (i = 0; i < n; i ++) {
|
||||
ImagingHorizontalBoxBlur(imTransposed, imTransposed, radius);
|
||||
}
|
||||
/* Restore original orientation. */
|
||||
ImagingTranspose(imOut, imTransposed);
|
||||
|
||||
ImagingDelete(imTransposed);
|
||||
|
||||
return imOut;
|
||||
}
|
||||
|
||||
|
||||
Imaging ImagingGaussianBlur(Imaging imOut, Imaging imIn, float radius,
|
||||
int passes)
|
||||
{
|
||||
float sigma2, L, l, a;
|
||||
|
||||
sigma2 = radius * radius / passes;
|
||||
// from http://www.mia.uni-saarland.de/Publications/gwosdek-ssvm11.pdf
|
||||
// [7] Box length.
|
||||
L = sqrt(12.0 * sigma2 + 1.0);
|
||||
// [11] Integer part of box radius.
|
||||
l = floor((L - 1.0) / 2.0);
|
||||
// [14], [Fig. 2] Fractional part of box radius.
|
||||
a = (2 * l + 1) * (l * (l + 1) - 3 * sigma2);
|
||||
a /= 6 * (sigma2 - (l + 1) * (l + 1));
|
||||
|
||||
return ImagingBoxBlur(imOut, imIn, l + a, passes);
|
||||
}
|
||||
|
|
@ -263,7 +263,8 @@ extern Imaging ImagingFilter(
|
|||
FLOAT32 offset, FLOAT32 divisor);
|
||||
extern Imaging ImagingFlipLeftRight(Imaging imOut, Imaging imIn);
|
||||
extern Imaging ImagingFlipTopBottom(Imaging imOut, Imaging imIn);
|
||||
extern Imaging ImagingGaussianBlur(Imaging im, Imaging imOut, float radius);
|
||||
extern Imaging ImagingGaussianBlur(Imaging imOut, Imaging imIn, float radius,
|
||||
int passes);
|
||||
extern Imaging ImagingGetBand(Imaging im, int band);
|
||||
extern int ImagingGetBBox(Imaging im, int bbox[4]);
|
||||
typedef struct { int x, y; INT32 count; INT32 pixel; } ImagingColorItem;
|
||||
|
|
@ -309,7 +310,8 @@ extern Imaging ImagingTransform(
|
|||
ImagingTransformFilter filter, void* filter_data,
|
||||
int fill);
|
||||
extern Imaging ImagingUnsharpMask(
|
||||
Imaging im, Imaging imOut, float radius, int percent, int threshold);
|
||||
Imaging imOut, Imaging im, float radius, int percent, int threshold);
|
||||
extern Imaging ImagingBoxBlur(Imaging imOut, Imaging imIn, float radius, int n);
|
||||
|
||||
extern Imaging ImagingCopy2(Imaging imOut, Imaging imIn);
|
||||
extern Imaging ImagingConvert2(Imaging imOut, Imaging imIn);
|
||||
|
|
|
|||
|
|
@ -9,385 +9,83 @@
|
|||
#include "Python.h"
|
||||
#include "Imaging.h"
|
||||
|
||||
#define PILUSMVERSION "0.6.1"
|
||||
|
||||
/* version history
|
||||
typedef UINT8 pixel[4];
|
||||
|
||||
0.6.1 converted to C and added to PIL 1.1.7
|
||||
|
||||
0.6.0 fixed/improved float radius support (oops!)
|
||||
now that radius can be a float (properly), changed radius value to
|
||||
be an actual radius (instead of diameter). So, you should get
|
||||
similar results from PIL_usm as from other paint programs when
|
||||
using the SAME values (no doubling of radius required any more).
|
||||
Be careful, this may "break" software if you had it set for 2x
|
||||
or 5x the radius as was recommended with earlier versions.
|
||||
made PILusm thread-friendly (release GIL before lengthly operations,
|
||||
and re-acquire it before returning to Python). This makes a huge
|
||||
difference with multi-threaded applications on dual-processor
|
||||
or "Hyperthreading"-enabled systems (Pentium4, Xeon, etc.)
|
||||
|
||||
0.5.0 added support for float radius values!
|
||||
|
||||
0.4.0 tweaked gaussian curve calculation to be closer to consistent shape
|
||||
across a wide range of radius values
|
||||
|
||||
0.3.0 changed deviation calculation in gausian algorithm to be dynamic
|
||||
_gblur now adds 1 to the user-supplied radius before using it so
|
||||
that a value of "0" returns the original image instead of a
|
||||
black one.
|
||||
fixed handling of alpha channel in RGBX, RGBA images
|
||||
improved speed of gblur by reducing unnecessary checks and assignments
|
||||
|
||||
0.2.0 fixed L-mode image support
|
||||
|
||||
0.1.0 initial release
|
||||
|
||||
*/
|
||||
|
||||
static inline UINT8 clip(double in)
|
||||
static inline UINT8 clip8(int in)
|
||||
{
|
||||
if (in >= 255.0)
|
||||
return (UINT8) 255;
|
||||
if (in <= 0.0)
|
||||
return (UINT8) 0;
|
||||
if (in >= 255)
|
||||
return 255;
|
||||
if (in <= 0)
|
||||
return 0;
|
||||
return (UINT8) in;
|
||||
}
|
||||
|
||||
static Imaging
|
||||
gblur(Imaging im, Imaging imOut, float floatRadius, int channels, int padding)
|
||||
{
|
||||
ImagingSectionCookie cookie;
|
||||
|
||||
float *maskData = NULL;
|
||||
int y = 0;
|
||||
int x = 0;
|
||||
float z = 0;
|
||||
float sum = 0.0;
|
||||
float dev = 0.0;
|
||||
|
||||
float *buffer = NULL;
|
||||
|
||||
int *line = NULL;
|
||||
UINT8 *line8 = NULL;
|
||||
|
||||
int pix = 0;
|
||||
float newPixel[4];
|
||||
int channel = 0;
|
||||
int offset = 0;
|
||||
INT32 newPixelFinals;
|
||||
|
||||
int radius = 0;
|
||||
float remainder = 0.0;
|
||||
|
||||
int i;
|
||||
|
||||
/* Do the gaussian blur */
|
||||
|
||||
/* For a symmetrical gaussian blur, instead of doing a radius*radius
|
||||
matrix lookup, you get the EXACT same results by doing a radius*1
|
||||
transform, followed by a 1*radius transform. This reduces the
|
||||
number of lookups exponentially (10 lookups per pixel for a
|
||||
radius of 5 instead of 25 lookups). So, we blur the lines first,
|
||||
then we blur the resulting columns. */
|
||||
|
||||
/* first, round radius off to the next higher integer and hold the
|
||||
remainder this is used so we can support float radius values
|
||||
properly. */
|
||||
|
||||
remainder = floatRadius - ((int) floatRadius);
|
||||
floatRadius = ceil(floatRadius);
|
||||
|
||||
/* Next, double the radius and offset by 2.0... that way "0" returns
|
||||
the original image instead of a black one. We multiply it by 2.0
|
||||
so that it is a true "radius", not a diameter (the results match
|
||||
other paint programs closer that way too). */
|
||||
radius = (int) ((floatRadius * 2.0) + 2.0);
|
||||
|
||||
/* create the maskData for the gaussian curve */
|
||||
maskData = malloc(radius * sizeof(float));
|
||||
/* FIXME: error checking */
|
||||
for (x = 0; x < radius; x++) {
|
||||
z = ((float) (x + 2) / ((float) radius));
|
||||
dev = 0.5 + (((float) (radius * radius)) * 0.001);
|
||||
/* you can adjust this factor to change the shape/center-weighting
|
||||
of the gaussian */
|
||||
maskData[x] = (float) pow((1.0 / sqrt(2.0 * 3.14159265359 * dev)),
|
||||
((-(z - 1.0) * -(x - 1.0)) /
|
||||
(2.0 * dev)));
|
||||
}
|
||||
|
||||
/* if there's any remainder, multiply the first/last values in
|
||||
MaskData it. this allows us to support float radius values. */
|
||||
if (remainder > 0.0) {
|
||||
maskData[0] *= remainder;
|
||||
maskData[radius - 1] *= remainder;
|
||||
}
|
||||
|
||||
for (x = 0; x < radius; x++) {
|
||||
/* this is done separately now due to the correction for float
|
||||
radius values above */
|
||||
sum += maskData[x];
|
||||
}
|
||||
|
||||
for (i = 0; i < radius; i++) {
|
||||
maskData[i] *= (1.0 / sum);
|
||||
/* printf("%f\n", maskData[i]); */
|
||||
}
|
||||
|
||||
/* create a temporary memory buffer for the data for the first pass
|
||||
memset the buffer to 0 so we can use it directly with += */
|
||||
|
||||
/* don't bother about alpha/padding */
|
||||
buffer = calloc((size_t) (im->xsize * im->ysize * channels),
|
||||
sizeof(float));
|
||||
if (buffer == NULL)
|
||||
return ImagingError_MemoryError();
|
||||
|
||||
/* be nice to other threads while you go off to lala land */
|
||||
ImagingSectionEnter(&cookie);
|
||||
|
||||
/* memset(buffer, 0, sizeof(buffer)); */
|
||||
|
||||
newPixel[0] = newPixel[1] = newPixel[2] = newPixel[3] = 0;
|
||||
|
||||
/* perform a blur on each line, and place in the temporary storage buffer */
|
||||
for (y = 0; y < im->ysize; y++) {
|
||||
if (channels == 1 && im->image8 != NULL) {
|
||||
line8 = (UINT8 *) im->image8[y];
|
||||
} else {
|
||||
line = im->image32[y];
|
||||
}
|
||||
for (x = 0; x < im->xsize; x++) {
|
||||
newPixel[0] = newPixel[1] = newPixel[2] = newPixel[3] = 0;
|
||||
/* for each neighbor pixel, factor in its value/weighting to the
|
||||
current pixel */
|
||||
for (pix = 0; pix < radius; pix++) {
|
||||
/* figure the offset of this neighbor pixel */
|
||||
offset =
|
||||
(int) ((-((float) radius / 2.0) + (float) pix) + 0.5);
|
||||
if (x + offset < 0)
|
||||
offset = -x;
|
||||
else if (x + offset >= im->xsize)
|
||||
offset = im->xsize - x - 1;
|
||||
|
||||
/* add (neighbor pixel value * maskData[pix]) to the current
|
||||
pixel value */
|
||||
if (channels == 1) {
|
||||
buffer[(y * im->xsize) + x] +=
|
||||
((float) ((UINT8 *) & line8[x + offset])[0]) *
|
||||
(maskData[pix]);
|
||||
} else {
|
||||
for (channel = 0; channel < channels; channel++) {
|
||||
buffer[(y * im->xsize * channels) +
|
||||
(x * channels) + channel] +=
|
||||
((float) ((UINT8 *) & line[x + offset])
|
||||
[channel]) * (maskData[pix]);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* perform a blur on each column in the buffer, and place in the
|
||||
output image */
|
||||
for (x = 0; x < im->xsize; x++) {
|
||||
for (y = 0; y < im->ysize; y++) {
|
||||
newPixel[0] = newPixel[1] = newPixel[2] = newPixel[3] = 0;
|
||||
/* for each neighbor pixel, factor in its value/weighting to the
|
||||
current pixel */
|
||||
for (pix = 0; pix < radius; pix++) {
|
||||
/* figure the offset of this neighbor pixel */
|
||||
offset =
|
||||
(int) (-((float) radius / 2.0) + (float) pix + 0.5);
|
||||
if (y + offset < 0)
|
||||
offset = -y;
|
||||
else if (y + offset >= im->ysize)
|
||||
offset = im->ysize - y - 1;
|
||||
/* add (neighbor pixel value * maskData[pix]) to the current
|
||||
pixel value */
|
||||
for (channel = 0; channel < channels; channel++) {
|
||||
newPixel[channel] +=
|
||||
(buffer
|
||||
[((y + offset) * im->xsize * channels) +
|
||||
(x * channels) + channel]) * (maskData[pix]);
|
||||
}
|
||||
}
|
||||
/* if the image is RGBX or RGBA, copy the 4th channel data to
|
||||
newPixel, so it gets put in imOut */
|
||||
if (strcmp(im->mode, "RGBX") == 0
|
||||
|| strcmp(im->mode, "RGBA") == 0) {
|
||||
newPixel[3] = (float) ((UINT8 *) & line[x + offset])[3];
|
||||
}
|
||||
|
||||
/* pack the channels into an INT32 so we can put them back in
|
||||
the PIL image */
|
||||
newPixelFinals = 0;
|
||||
if (channels == 1) {
|
||||
newPixelFinals = clip(newPixel[0]);
|
||||
} else {
|
||||
/* for RGB, the fourth channel isn't used anyways, so just
|
||||
pack a 0 in there, this saves checking the mode for each
|
||||
pixel. */
|
||||
/* this doesn't work on little-endian machines... fix it! */
|
||||
newPixelFinals =
|
||||
clip(newPixel[0]) | clip(newPixel[1]) << 8 |
|
||||
clip(newPixel[2]) << 16 | clip(newPixel[3]) << 24;
|
||||
}
|
||||
/* set the resulting pixel in imOut */
|
||||
if (channels == 1) {
|
||||
imOut->image8[y][x] = (UINT8) newPixelFinals;
|
||||
} else {
|
||||
imOut->image32[y][x] = newPixelFinals;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* free the buffer */
|
||||
free(buffer);
|
||||
|
||||
/* get the GIL back so Python knows who you are */
|
||||
ImagingSectionLeave(&cookie);
|
||||
|
||||
return imOut;
|
||||
}
|
||||
|
||||
Imaging ImagingGaussianBlur(Imaging im, Imaging imOut, float radius)
|
||||
{
|
||||
int channels = 0;
|
||||
int padding = 0;
|
||||
|
||||
if (strcmp(im->mode, "RGB") == 0) {
|
||||
channels = 3;
|
||||
padding = 1;
|
||||
} else if (strcmp(im->mode, "RGBA") == 0) {
|
||||
channels = 3;
|
||||
padding = 1;
|
||||
} else if (strcmp(im->mode, "RGBX") == 0) {
|
||||
channels = 3;
|
||||
padding = 1;
|
||||
} else if (strcmp(im->mode, "CMYK") == 0) {
|
||||
channels = 4;
|
||||
padding = 0;
|
||||
} else if (strcmp(im->mode, "L") == 0) {
|
||||
channels = 1;
|
||||
padding = 0;
|
||||
} else
|
||||
return ImagingError_ModeError();
|
||||
|
||||
return gblur(im, imOut, radius, channels, padding);
|
||||
}
|
||||
|
||||
Imaging
|
||||
ImagingUnsharpMask(Imaging im, Imaging imOut, float radius, int percent,
|
||||
ImagingUnsharpMask(Imaging imOut, Imaging imIn, float radius, int percent,
|
||||
int threshold)
|
||||
{
|
||||
ImagingSectionCookie cookie;
|
||||
|
||||
Imaging result;
|
||||
int channel = 0;
|
||||
int channels = 0;
|
||||
int padding = 0;
|
||||
|
||||
int x = 0;
|
||||
int y = 0;
|
||||
int x, y, diff;
|
||||
|
||||
int *lineIn = NULL;
|
||||
int *lineOut = NULL;
|
||||
pixel *lineIn = NULL;
|
||||
pixel *lineOut = NULL;
|
||||
UINT8 *lineIn8 = NULL;
|
||||
UINT8 *lineOut8 = NULL;
|
||||
|
||||
int diff = 0;
|
||||
|
||||
INT32 newPixel = 0;
|
||||
|
||||
if (strcmp(im->mode, "RGB") == 0) {
|
||||
channels = 3;
|
||||
padding = 1;
|
||||
} else if (strcmp(im->mode, "RGBA") == 0) {
|
||||
channels = 3;
|
||||
padding = 1;
|
||||
} else if (strcmp(im->mode, "RGBX") == 0) {
|
||||
channels = 3;
|
||||
padding = 1;
|
||||
} else if (strcmp(im->mode, "CMYK") == 0) {
|
||||
channels = 4;
|
||||
padding = 0;
|
||||
} else if (strcmp(im->mode, "L") == 0) {
|
||||
channels = 1;
|
||||
padding = 0;
|
||||
} else
|
||||
return ImagingError_ModeError();
|
||||
|
||||
/* first, do a gaussian blur on the image, putting results in imOut
|
||||
temporarily */
|
||||
result = gblur(im, imOut, radius, channels, padding);
|
||||
/* First, do a gaussian blur on the image, putting results in imOut
|
||||
temporarily. All format checks are in gaussian blur. */
|
||||
result = ImagingGaussianBlur(imOut, imIn, radius, 3);
|
||||
if (!result)
|
||||
return NULL;
|
||||
|
||||
/* now, go through each pixel, compare "normal" pixel to blurred
|
||||
pixel. if the difference is more than threshold values, apply
|
||||
/* Now, go through each pixel, compare "normal" pixel to blurred
|
||||
pixel. If the difference is more than threshold values, apply
|
||||
the OPPOSITE correction to the amount of blur, multiplied by
|
||||
percent. */
|
||||
|
||||
ImagingSectionEnter(&cookie);
|
||||
|
||||
for (y = 0; y < im->ysize; y++) {
|
||||
if (channels == 1) {
|
||||
lineIn8 = im->image8[y];
|
||||
for (y = 0; y < imIn->ysize; y++) {
|
||||
if (imIn->image8)
|
||||
{
|
||||
lineIn8 = imIn->image8[y];
|
||||
lineOut8 = imOut->image8[y];
|
||||
} else {
|
||||
lineIn = im->image32[y];
|
||||
lineOut = imOut->image32[y];
|
||||
}
|
||||
for (x = 0; x < im->xsize; x++) {
|
||||
newPixel = 0;
|
||||
for (x = 0; x < imIn->xsize; x++) {
|
||||
/* compare in/out pixels, apply sharpening */
|
||||
if (channels == 1) {
|
||||
diff =
|
||||
((UINT8 *) & lineIn8[x])[0] -
|
||||
((UINT8 *) & lineOut8[x])[0];
|
||||
diff = lineIn8[x] - lineOut8[x];
|
||||
if (abs(diff) > threshold) {
|
||||
/* add the diff*percent to the original pixel */
|
||||
imOut->image8[y][x] =
|
||||
clip((((UINT8 *) & lineIn8[x])[0]) +
|
||||
(diff * ((float) percent) / 100.0));
|
||||
lineOut8[x] = clip8(lineIn8[x] + diff * percent / 100);
|
||||
} else {
|
||||
/* newPixel is the same as imIn */
|
||||
imOut->image8[y][x] = ((UINT8 *) & lineIn8[x])[0];
|
||||
/* new pixel is the same as imIn */
|
||||
lineOut8[x] = lineIn8[x];
|
||||
}
|
||||
}
|
||||
} else {
|
||||
lineIn = (pixel *)imIn->image32[y];
|
||||
lineOut = (pixel *)imOut->image32[y];
|
||||
for (x = 0; x < imIn->xsize; x++) {
|
||||
/* compare in/out pixels, apply sharpening */
|
||||
diff = lineIn[x][0] - lineOut[x][0];
|
||||
lineOut[x][0] = abs(diff) > threshold ?
|
||||
clip8(lineIn[x][0] + diff * percent / 100) : lineIn[x][0];
|
||||
|
||||
else {
|
||||
for (channel = 0; channel < channels; channel++) {
|
||||
diff = (int) ((((UINT8 *) & lineIn[x])[channel]) -
|
||||
(((UINT8 *) & lineOut[x])[channel]));
|
||||
if (abs(diff) > threshold) {
|
||||
/* add the diff*percent to the original pixel
|
||||
this may not work for little-endian systems, fix it! */
|
||||
newPixel =
|
||||
newPixel |
|
||||
clip((float) (((UINT8 *) & lineIn[x])[channel])
|
||||
+
|
||||
(diff *
|
||||
(((float) percent /
|
||||
100.0)))) << (channel * 8);
|
||||
} else {
|
||||
/* newPixel is the same as imIn
|
||||
this may not work for little-endian systems, fix it! */
|
||||
newPixel =
|
||||
newPixel | ((UINT8 *) & lineIn[x])[channel] <<
|
||||
(channel * 8);
|
||||
}
|
||||
}
|
||||
if (strcmp(im->mode, "RGBX") == 0
|
||||
|| strcmp(im->mode, "RGBA") == 0) {
|
||||
/* preserve the alpha channel
|
||||
this may not work for little-endian systems, fix it! */
|
||||
newPixel =
|
||||
newPixel | ((UINT8 *) & lineIn[x])[channel] << 24;
|
||||
}
|
||||
imOut->image32[y][x] = newPixel;
|
||||
diff = lineIn[x][1] - lineOut[x][1];
|
||||
lineOut[x][1] = abs(diff) > threshold ?
|
||||
clip8(lineIn[x][1] + diff * percent / 100) : lineIn[x][1];
|
||||
|
||||
diff = lineIn[x][2] - lineOut[x][2];
|
||||
lineOut[x][2] = abs(diff) > threshold ?
|
||||
clip8(lineIn[x][2] + diff * percent / 100) : lineIn[x][2];
|
||||
|
||||
diff = lineIn[x][3] - lineOut[x][3];
|
||||
lineOut[x][3] = abs(diff) > threshold ?
|
||||
clip8(lineIn[x][3] + diff * percent / 100) : lineIn[x][3];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
2
setup.py
2
setup.py
|
|
@ -37,7 +37,7 @@ _LIB_IMAGING = (
|
|||
"RankFilter", "RawDecode", "RawEncode", "Storage", "SunRleDecode",
|
||||
"TgaRleDecode", "Unpack", "UnpackYCC", "UnsharpMask", "XbmDecode",
|
||||
"XbmEncode", "ZipDecode", "ZipEncode", "TiffDecode", "Incremental",
|
||||
"Jpeg2KDecode", "Jpeg2KEncode")
|
||||
"Jpeg2KDecode", "Jpeg2KEncode", "BoxBlur")
|
||||
|
||||
|
||||
def _add_directory(path, dir, where=None):
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user