mirror of
https://github.com/Raymo111/i3lock-color.git
synced 2024-11-11 13:50:52 -05:00
95c333cba5
Overall, I'm very happy with performance of this code, but not so much with resulting image. It seems like integer approximations won't do. I might remove this code altogether, so I didn't update comments.
265 lines
12 KiB
C
265 lines
12 KiB
C
/*
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* vim:ts=4:sw=4:expandtab
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*
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* © 2016 Sebastian Frysztak
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*
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* See LICENSE for licensing information
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*
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*/
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#include "blur.h"
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#include <math.h>
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#include <xmmintrin.h>
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#include <tmmintrin.h>
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#define ALIGN16 __attribute__((aligned(16)))
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#define KERNEL_SIZE 15
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#define HALF_KERNEL KERNEL_SIZE / 2
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// number of xmm registers needed to store
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// input pixels for given kernel size
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#define REGISTERS_CNT (KERNEL_SIZE + 4/2) / 4
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// scaling factor for kernel coefficients.
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// higher values cause desaturation.
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// used in SSSE3 implementation.
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#define SCALE_FACTOR 14
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void blur_impl_sse2(uint32_t *src, uint32_t *dst, int width, int height, float sigma) {
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// prepare kernel
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float kernel[KERNEL_SIZE];
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float coeff = 1.0 / sqrtf(2 * M_PI * sigma * sigma), sum = 0;
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for (int i = 0; i < KERNEL_SIZE; i++) {
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float x = HALF_KERNEL - i;
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kernel[i] = coeff * expf(-x * x / (2.0 * sigma * sigma));
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sum += kernel[i];
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}
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// normalize kernel
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for (int i = 0; i < KERNEL_SIZE; i++)
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kernel[i] /= sum;
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// horizontal pass includes image transposition:
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// instead of writing pixel src[x] to dst[x],
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// we write it to transposed location.
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// (to be exact: dst[height * current_column + current_row])
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blur_impl_horizontal_pass_sse2(src, dst, kernel, width, height);
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blur_impl_horizontal_pass_sse2(dst, src, kernel, height, width);
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}
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void blur_impl_horizontal_pass_sse2(uint32_t *src, uint32_t *dst, float *kernel, int width, int height) {
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for (int row = 0; row < height; row++) {
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for (int column = 0; column < width; column++, src++) {
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__m128i rgbaIn[REGISTERS_CNT];
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// handle borders
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int leftBorder = column < HALF_KERNEL;
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int rightBorder = column > width - HALF_KERNEL;
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if (leftBorder || rightBorder) {
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uint32_t _rgbaIn[KERNEL_SIZE] ALIGN16;
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int i = 0;
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if (leftBorder) {
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// for kernel size 7x7 and column == 0, we have:
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// x x x P0 P1 P2 P3
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// first loop mirrors P{0..3} to fill x's,
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// second one loads P{0..3}
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for (; i < HALF_KERNEL - column; i++)
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_rgbaIn[i] = *(src + (HALF_KERNEL - i));
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for (; i < KERNEL_SIZE; i++)
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_rgbaIn[i] = *(src - (HALF_KERNEL - i));
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} else {
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for (; i < width - column; i++)
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_rgbaIn[i] = *(src + i);
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for (int k = 0; i < KERNEL_SIZE; i++, k++)
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_rgbaIn[i] = *(src - k);
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}
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for (int k = 0; k < REGISTERS_CNT; k++)
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rgbaIn[k] = _mm_load_si128((__m128i*)(_rgbaIn + 4*k));
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} else {
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for (int k = 0; k < REGISTERS_CNT; k++)
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rgbaIn[k] = _mm_loadu_si128((__m128i*)(src + 4*k - HALF_KERNEL));
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}
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// unpack each pixel, convert to float,
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// multiply by corresponding kernel value
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// and add to accumulator
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__m128i tmp;
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__m128i zero = _mm_setzero_si128();
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__m128 rgba_ps;
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__m128 acc = _mm_setzero_ps();
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int counter = 0;
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for (int i = 0; i < 3; i++)
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{
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tmp = _mm_unpacklo_epi8(rgbaIn[i], zero);
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rgba_ps = _mm_cvtepi32_ps(_mm_unpacklo_epi16(tmp, zero));
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acc = _mm_add_ps(acc, _mm_mul_ps(rgba_ps, _mm_set1_ps(kernel[counter++])));
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rgba_ps = _mm_cvtepi32_ps(_mm_unpackhi_epi16(tmp, zero));
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acc = _mm_add_ps(acc, _mm_mul_ps(rgba_ps, _mm_set1_ps(kernel[counter++])));
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tmp = _mm_unpackhi_epi8(rgbaIn[i], zero);
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rgba_ps = _mm_cvtepi32_ps(_mm_unpacklo_epi16(tmp, zero));
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acc = _mm_add_ps(acc, _mm_mul_ps(rgba_ps, _mm_set1_ps(kernel[counter++])));
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rgba_ps = _mm_cvtepi32_ps(_mm_unpackhi_epi16(tmp, zero));
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acc = _mm_add_ps(acc, _mm_mul_ps(rgba_ps, _mm_set1_ps(kernel[counter++])));
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}
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tmp = _mm_unpacklo_epi8(rgbaIn[3], zero);
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rgba_ps = _mm_cvtepi32_ps(_mm_unpacklo_epi16(tmp, zero));
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acc = _mm_add_ps(acc, _mm_mul_ps(rgba_ps, _mm_set1_ps(kernel[counter++])));
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rgba_ps = _mm_cvtepi32_ps(_mm_unpackhi_epi16(tmp, zero));
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acc = _mm_add_ps(acc, _mm_mul_ps(rgba_ps, _mm_set1_ps(kernel[counter++])));
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tmp = _mm_unpackhi_epi8(rgbaIn[3], zero);
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rgba_ps = _mm_cvtepi32_ps(_mm_unpacklo_epi16(tmp, zero));
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acc = _mm_add_ps(acc, _mm_mul_ps(rgba_ps, _mm_set1_ps(kernel[counter++])));
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__m128i rgbaOut = _mm_cvtps_epi32(acc);
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rgbaOut = _mm_packs_epi32(rgbaOut, zero);
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rgbaOut = _mm_packus_epi16(rgbaOut, zero);
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*(dst + height * column + row) = _mm_cvtsi128_si32(rgbaOut);
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}
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}
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}
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void blur_impl_ssse3(uint32_t *src, uint32_t *dst, int width, int height, float sigma) {
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// prepare kernel
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float kernelf[KERNEL_SIZE];
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int16_t kernel[KERNEL_SIZE + 1];
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float coeff = 1.0 / sqrtf(2 * M_PI * sigma * sigma), sum = 0;
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for (int i = 0; i < KERNEL_SIZE; i++) {
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float x = HALF_KERNEL - i;
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kernelf[i] = coeff * expf(-x * x / (2.0 * sigma * sigma));
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sum += kernelf[i];
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}
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// normalize kernel
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for (int i = 0; i < KERNEL_SIZE; i++)
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kernelf[i] /= sum;
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// round to nearest integer and convert to int
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for (int i = 0; i < KERNEL_SIZE; i++)
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kernel[i] = (int16_t)lrintf(kernelf[i] * (1 << SCALE_FACTOR));
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kernel[KERNEL_SIZE] = 0;
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// horizontal pass includes image transposition:
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// instead of writing pixel src[x] to dst[x],
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// we write it to transposed location.
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// (to be exact: dst[height * current_column + current_row])
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blur_impl_horizontal_pass_ssse3(src, dst, kernel, width, height);
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blur_impl_horizontal_pass_ssse3(dst, src, kernel, height, width);
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}
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void blur_impl_horizontal_pass_ssse3(uint32_t *src, uint32_t *dst, int16_t *kernel, int width, int height) {
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__m128i _kern[2];
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_kern[0] = _mm_loadu_si128((__m128i*)kernel);
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_kern[1] = _mm_loadu_si128((__m128i*)(kernel + 8));
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__m128i rgbaIn[REGISTERS_CNT];
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for (int row = 0; row < height; row++) {
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for (int column = 0; column < width; column++, src++) {
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uint32_t _rgbaIn[KERNEL_SIZE] ALIGN16;
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// handle borders
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int leftBorder = column < HALF_KERNEL;
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int rightBorder = column > width - HALF_KERNEL;
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if (leftBorder || rightBorder) {
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int i = 0;
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if (leftBorder) {
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// for kernel size 7x7 and column == 0, we have:
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// x x x P0 P1 P2 P3
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// first loop mirrors P{0..3} to fill x's,
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// second one loads P{0..3}
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for (; i < HALF_KERNEL - column; i++)
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_rgbaIn[i] = *(src + (HALF_KERNEL - i));
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for (; i < KERNEL_SIZE; i++)
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_rgbaIn[i] = *(src - (HALF_KERNEL - i));
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} else {
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for (; i < width - column; i++)
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_rgbaIn[i] = *(src + i);
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for (int k = 0; i < KERNEL_SIZE; i++, k++)
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_rgbaIn[i] = *(src - k);
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}
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for (int k = 0; k < REGISTERS_CNT; k++)
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rgbaIn[k] = _mm_load_si128((__m128i*)(_rgbaIn + 4*k));
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} else {
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for (int k = 0; k < REGISTERS_CNT; k++)
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rgbaIn[k] = _mm_loadu_si128((__m128i*)(src + 4*k - HALF_KERNEL));
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}
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// basis of this implementation is _mm_maddubs_epi16 (aka pmaddubsw).
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// 'rgba' holds 16 unsigned bytes, so 4 pixels.
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// 'kern' holds 16 signed bytes kernel values multiplied by (1 << SCALE_FACTOR).
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// before multiplication takes place, vectors need to be prepared:
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// 'rgba' is shuffled from R1B1G1A1...R4B4G4A4 to R1R2R3R4...A1A2A3A4
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// 'kern' is shuffled from w1w2w3w4...w13w14w15w16 to w1w2w3w4 repeated 4 times
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// then we call _mm_maddubs_epi16 and we get:
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// --------------------------------------------------------------------------------------
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// | R1*w1 + R2*w2 | R3*w3 + R4*w4 | G1*w1 + G2*w2 | G3*w3 + G4*w4 | repeat for B and A |
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// --------------------------------------------------------------------------------------
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// each 'rectangle' is a 16-byte signed int.
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// then we repeat the process for the rest of input pixels,
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// call _mm_hadds_epi16 to add adjacent ints and shift right to scale by SCALE_FACTOR.
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__m128i rgba, rg, ba, kern;
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__m128i zero = _mm_setzero_si128();
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__m128i acc_rg = _mm_setzero_si128();
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__m128i acc_ba = _mm_setzero_si128();
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const __m128i rgba_shuf_mask = _mm_setr_epi8(0, 4, 8, 12,
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1, 5, 9, 13,
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2, 6, 10, 14,
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3, 7, 11, 15);
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const __m128i kern_shuf_mask = _mm_setr_epi8(0, 1, 2, 3,
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4, 5, 6, 7,
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0, 1, 2, 3,
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4, 5, 6, 7);
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rgba = _mm_shuffle_epi8(rgbaIn[0], rgba_shuf_mask);
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rg = _mm_unpacklo_epi8(rgba, zero);
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ba = _mm_unpackhi_epi8(rgba, zero);
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kern = _mm_shuffle_epi8(_kern[0], kern_shuf_mask);
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acc_rg = _mm_add_epi32(acc_rg, _mm_madd_epi16(rg, kern));
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acc_ba = _mm_add_epi32(acc_ba, _mm_madd_epi16(ba, kern));
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rgba = _mm_shuffle_epi8(rgbaIn[1], rgba_shuf_mask);
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rg = _mm_unpacklo_epi8(rgba, zero);
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ba = _mm_unpackhi_epi8(rgba, zero);
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kern = _mm_shuffle_epi8(_mm_srli_si128(_kern[0], 8), kern_shuf_mask);
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acc_rg = _mm_add_epi32(acc_rg, _mm_madd_epi16(rg, kern));
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acc_ba = _mm_add_epi32(acc_ba, _mm_madd_epi16(ba, kern));
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rgba = _mm_shuffle_epi8(rgbaIn[2], rgba_shuf_mask);
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rg = _mm_unpacklo_epi8(rgba, zero);
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ba = _mm_unpackhi_epi8(rgba, zero);
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kern = _mm_shuffle_epi8(_kern[1], kern_shuf_mask);
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acc_rg = _mm_add_epi32(acc_rg, _mm_madd_epi16(rg, kern));
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acc_ba = _mm_add_epi32(acc_ba, _mm_madd_epi16(ba, kern));
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rgba = _mm_shuffle_epi8(rgbaIn[3], rgba_shuf_mask);
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rg = _mm_unpacklo_epi8(rgba, zero);
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ba = _mm_unpackhi_epi8(rgba, zero);
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kern = _mm_shuffle_epi8(_mm_srli_si128(_kern[1], 8), kern_shuf_mask);
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acc_rg = _mm_add_epi32(acc_rg, _mm_madd_epi16(rg, kern));
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acc_ba = _mm_add_epi32(acc_ba, _mm_madd_epi16(ba, kern));
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rgba = _mm_hadd_epi32(acc_rg, acc_ba);
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rgba = _mm_srai_epi32(rgba, SCALE_FACTOR);
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// Cairo sets alpha channel to 255
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// (or -1, depending how you look at it)
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// this quickly overflows accumulator,
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// and alpha is calculated completely wrong.
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// I assume most people don't use semi-transparent
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// lock screen images, so no one will mind if we
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// 'correct it' by setting alpha to 255.
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*(dst + height * column + row) =
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_mm_cvtsi128_si32(_mm_shuffle_epi8(rgba, rgba_shuf_mask));
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}
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}
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}
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