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https://github.com/python-pillow/Pillow.git
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169 lines
6.8 KiB
C
169 lines
6.8 KiB
C
#include "Imaging.h"
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#include <math.h>
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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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NOTE: This value should be the same as in _imaging/_prepare_lut_table() */
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#define PRECISION_BITS (16 - 8 - 2)
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#define PRECISION_ROUNDING (1<<(PRECISION_BITS-1))
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/* 8 — scales are multiplied on byte.
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6 — max index in the table
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(max size is 65, but index 64 is not reachable) */
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#define SCALE_BITS (32 - 8 - 6)
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#define SCALE_MASK ((1<<SCALE_BITS) - 1)
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#define SHIFT_BITS (16 - 1)
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static inline UINT8 clip8(int in)
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{
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return clip8_lookups[(in + PRECISION_ROUNDING) >> PRECISION_BITS];
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}
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static inline void
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interpolate3(INT16 out[3], const INT16 a[3], const INT16 b[3], INT16 shift)
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{
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out[0] = (a[0] * ((1<<SHIFT_BITS)-shift) + b[0] * shift) >> SHIFT_BITS;
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out[1] = (a[1] * ((1<<SHIFT_BITS)-shift) + b[1] * shift) >> SHIFT_BITS;
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out[2] = (a[2] * ((1<<SHIFT_BITS)-shift) + b[2] * shift) >> SHIFT_BITS;
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}
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static inline void
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interpolate4(INT16 out[4], const INT16 a[4], const INT16 b[4], INT16 shift)
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{
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out[0] = (a[0] * ((1<<SHIFT_BITS)-shift) + b[0] * shift) >> SHIFT_BITS;
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out[1] = (a[1] * ((1<<SHIFT_BITS)-shift) + b[1] * shift) >> SHIFT_BITS;
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out[2] = (a[2] * ((1<<SHIFT_BITS)-shift) + b[2] * shift) >> SHIFT_BITS;
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out[3] = (a[3] * ((1<<SHIFT_BITS)-shift) + b[3] * shift) >> SHIFT_BITS;
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}
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static inline int
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table_index3D(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;
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}
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/*
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Transforms colors of imIn using provided 3D lookup table
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and puts the result in imOut. Returns imOut on success 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 lookup 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 — flat 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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/* This float to int conversion doesn't have rounding
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error compensation (+0.5) for two reasons:
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1. As we don't hit the highest value,
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we can use one extra bit for precision.
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2. For every pixel, we interpolate 8 elements from the table:
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current and +1 for every dimension and their combinations.
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If we hit the upper cells from the table,
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+1 cells will be outside of the table.
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With this compensation we never hit the upper cells
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but this also doesn't introduce any noticeable difference. */
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UINT32 scale1D = (size1D - 1) / 255.0 * (1<<SCALE_BITS);
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UINT32 scale2D = (size2D - 1) / 255.0 * (1<<SCALE_BITS);
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UINT32 scale3D = (size3D - 1) / 255.0 * (1<<SCALE_BITS);
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int size1D_2D = size1D * size2D;
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int x, y;
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ImagingSectionCookie cookie;
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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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ImagingSectionEnter(&cookie);
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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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char* rowOut = (char *)imOut->image[y];
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for (x = 0; x < imOut->xsize; x++) {
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UINT32 index1D = rowIn[x*4 + 0] * scale1D;
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UINT32 index2D = rowIn[x*4 + 1] * scale2D;
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UINT32 index3D = rowIn[x*4 + 2] * scale3D;
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INT16 shift1D = (SCALE_MASK & index1D) >> (SCALE_BITS - SHIFT_BITS);
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INT16 shift2D = (SCALE_MASK & index2D) >> (SCALE_BITS - SHIFT_BITS);
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INT16 shift3D = (SCALE_MASK & index3D) >> (SCALE_BITS - SHIFT_BITS);
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int idx = table_channels * table_index3D(
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index1D >> SCALE_BITS, index2D >> SCALE_BITS,
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index3D >> SCALE_BITS, size1D, size1D_2D);
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INT16 result[4], left[4], right[4];
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INT16 leftleft[4], leftright[4], rightleft[4], rightright[4];
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if (table_channels == 3) {
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UINT32 v;
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interpolate3(leftleft, &table[idx + 0], &table[idx + 3], shift1D);
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interpolate3(leftright, &table[idx + size1D*3],
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&table[idx + size1D*3 + 3], shift1D);
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interpolate3(left, leftleft, leftright, shift2D);
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interpolate3(rightleft, &table[idx + size1D_2D*3],
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&table[idx + size1D_2D*3 + 3], shift1D);
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interpolate3(rightright, &table[idx + size1D_2D*3 + size1D*3],
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&table[idx + size1D_2D*3 + size1D*3 + 3], shift1D);
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interpolate3(right, rightleft, rightright, shift2D);
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interpolate3(result, left, right, shift3D);
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v = MAKE_UINT32(
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clip8(result[0]), clip8(result[1]),
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clip8(result[2]), rowIn[x*4 + 3]);
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memcpy(rowOut + x * sizeof(v), &v, sizeof(v));
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}
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if (table_channels == 4) {
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UINT32 v;
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interpolate4(leftleft, &table[idx + 0], &table[idx + 4], shift1D);
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interpolate4(leftright, &table[idx + size1D*4],
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&table[idx + size1D*4 + 4], shift1D);
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interpolate4(left, leftleft, leftright, shift2D);
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interpolate4(rightleft, &table[idx + size1D_2D*4],
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&table[idx + size1D_2D*4 + 4], shift1D);
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interpolate4(rightright, &table[idx + size1D_2D*4 + size1D*4],
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&table[idx + size1D_2D*4 + size1D*4 + 4], shift1D);
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interpolate4(right, rightleft, rightright, shift2D);
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interpolate4(result, left, right, shift3D);
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v = MAKE_UINT32(
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clip8(result[0]), clip8(result[1]),
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clip8(result[2]), clip8(result[3]));
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memcpy(rowOut + x * sizeof(v), &v, sizeof(v));
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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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