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color 3D LUT, just start
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2
setup.py
2
setup.py
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@ -39,7 +39,7 @@ _IMAGING = ("decode", "encode", "map", "display", "outline", "path")
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_LIB_IMAGING = (
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"Access", "AlphaComposite", "Resample", "Bands", "BcnDecode", "BitDecode",
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"Blend", "Chops", "Convert", "ConvertYCbCr", "Copy", "Crop",
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"Blend", "Chops", "ColorLUT", "Convert", "ConvertYCbCr", "Copy", "Crop",
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"Dib", "Draw", "Effects", "EpsEncode", "File", "Fill", "Filter",
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"FliDecode", "Geometry", "GetBBox", "GifDecode", "GifEncode", "HexDecode",
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"Histo", "JpegDecode", "JpegEncode", "Matrix", "ModeFilter",
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106
src/libImaging/ColorLUT.c
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106
src/libImaging/ColorLUT.c
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@ -0,0 +1,106 @@
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#include "Imaging.h"
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#include <math.h>
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#define ROUND_UP(f) ((int) ((f) >= 0.0 ? (f) + 0.5F : (f) - 0.5F))
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/* 8 bits for result. Table can overflow [0, 1.0] range,
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so we need extra bits for overflow and negative values. */
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#define PRECISION_BITS (16 - 8 - 2)
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static inline void
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interpolate3(INT16 out[3], const INT16 a[3], const INT16 b[3], float shift)
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{
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out[0] = a[0] * (1-shift) + b[0] * shift;
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out[1] = a[1] * (1-shift) + b[1] * shift;
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out[2] = a[2] * (1-shift) + b[2] * shift;
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}
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static inline void
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interpolate4(INT16 out[3], const INT16 a[3], const INT16 b[3], float shift)
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{
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out[0] = a[0] * (1-shift) + b[0] * shift;
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out[1] = a[1] * (1-shift) + b[1] * shift;
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out[2] = a[2] * (1-shift) + b[2] * shift;
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out[3] = a[3] * (1-shift) + b[3] * shift;
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}
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static inline int
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table3D_index3(int index1D, int index2D, int index3D,
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int size1D, int size1D_2D)
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{
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return (index1D + index2D * size1D + index3D * size1D_2D) * 3;
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}
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static inline int
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table3D_index4(int index1D, int index2D, int index3D,
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int size1D, int size1D_2D)
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{
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return (index1D + index2D * size1D + index3D * size1D_2D) * 4;
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}
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/*
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Transforms colors of imIn using provided 3D look-up table
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and puts the result in imOut. Returns imOut on sucess or 0 on error.
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imOut, imIn — images, should be the same size and may be the same image.
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Should have 3 or 4 channels.
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table_channels — number of channels in the look-up table, 3 or 4.
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Should be less or equal than number of channels in imOut image;
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size1D, size_2D and size3D — dimensions of provided table;
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table — flatten table,
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array with table_channels × size1D × size2D × size3D elements,
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where channels are changed first, then 1D, then 2D, then 3D.
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Each element is signed 16-bit int where 0 is lowest output value
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and 255 << PRECISION_BITS (16320) is highest value.
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*/
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Imaging
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ImagingColorLUT3D_linear(Imaging imOut, Imaging imIn, int table_channels,
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int size1D, int size2D, int size3D,
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INT16* table)
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{
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int size1D_2D = size1D * size2D;
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float scale1D = (size1D - 1) / 255.0;
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float scale2D = (size2D - 1) / 255.0;
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float scale3D = (size3D - 1) / 255.0;
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int x, y;
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if (table_channels < 3 || table_channels > 4) {
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PyErr_SetString(PyExc_ValueError, "table_channels could be 3 or 4");
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return NULL;
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}
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if (imIn->type != IMAGING_TYPE_UINT8 ||
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imOut->type != IMAGING_TYPE_UINT8 ||
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imIn->bands < 3 ||
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imOut->bands < table_channels
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) {
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return (Imaging) ImagingError_ModeError();
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}
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/* In case we have one extra band in imOut and don't have in imIn.*/
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if (imOut->bands > table_channels && imOut->bands > imIn->bands) {
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return (Imaging) ImagingError_ModeError();
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}
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for (y = 0; y < imOut->ysize; y++) {
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UINT8 *rowIn = (UINT8 *)imIn->image[y];
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UINT8 *rowOut = (UINT8 *)imIn->image[y];
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for (x = 0; x < imOut->xsize; x++) {
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float scaled1D = rowIn[x*4 + 0] * scale1D;
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float scaled2D = rowIn[x*4 + 1] * scale2D;
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float scaled3D = rowIn[x*4 + 2] * scale3D;
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int index1D = (int) scaled1D;
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int index2D = (int) scaled2D;
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int index3D = (int) scaled3D;
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float shift1D = scaled1D - index1D;
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float shift2D = scaled2D - index2D;
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float shift3D = scaled3D - index3D;
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}
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}
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return imOut;
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}
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@ -319,6 +319,8 @@ extern Imaging ImagingTransform(
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extern Imaging ImagingUnsharpMask(
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Imaging imOut, Imaging im, float radius, int percent, int threshold);
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extern Imaging ImagingBoxBlur(Imaging imOut, Imaging imIn, float radius, int n);
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extern Imaging ImagingColorLUT3D_linear(Imaging imOut, Imaging imIn,
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int table_channels, int size1D, int size2D, int size3D, INT16* table);
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extern Imaging ImagingCopy2(Imaging imOut, Imaging imIn);
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extern Imaging ImagingConvert2(Imaging imOut, Imaging imIn);
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