dany/libwebp
1
0
Fork 0
mirror of https://github.com/webmproject/libwebp.git synced 2024-12-27 06:08:21 +01:00
Code Issues Actions Packages Projects Releases Wiki Activity

enc_sse2: call local FTransform in CollectHistogram

Browse Source 
allows the former to be inlined; negligible speed-up in most cases,
however this is structure is consistent with the rest of the optimized
modules

Change-Id: Ib080240b06f7a995b47f1906627850c355b82901
This commit is contained in:
James Zern 2015-03-24 20:20:36 -07:00
parent 182497993b
commit 67ba7c7acc
1 changed files with 48 additions and 48 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

96
src/dsp/enc_sse2.c
View File

@ -50,54 +50,6 @@ static void PrintReg(const __m128i r, const char* const name, int size) {
} }
#endif #endif
//------------------------------------------------------------------------------
// Compute susceptibility based on DCT-coeff histograms:
// the higher, the "easier" the macroblock is to compress.
static void CollectHistogram(const uint8_t* ref, const uint8_t* pred,
int start_block, int end_block,
VP8Histogram* const histo) {
const __m128i max_coeff_thresh = _mm_set1_epi16(MAX_COEFF_THRESH);
int j;
int distribution[MAX_COEFF_THRESH + 1] = { 0 };
for (j = start_block; j < end_block; ++j) {
int16_t out[16];
int k;
VP8FTransform(ref + VP8DspScan[j], pred + VP8DspScan[j], out);
// Convert coefficients to bin (within out[]).
{
// Load.
const __m128i out0 = _mm_loadu_si128((__m128i*)&out[0]);
const __m128i out1 = _mm_loadu_si128((__m128i*)&out[8]);
// sign(out) = out >> 15 (0x0000 if positive, 0xffff if negative)
const __m128i sign0 = _mm_srai_epi16(out0, 15);
const __m128i sign1 = _mm_srai_epi16(out1, 15);
// abs(out) = (out ^ sign) - sign
const __m128i xor0 = _mm_xor_si128(out0, sign0);
const __m128i xor1 = _mm_xor_si128(out1, sign1);
const __m128i abs0 = _mm_sub_epi16(xor0, sign0);
const __m128i abs1 = _mm_sub_epi16(xor1, sign1);
// v = abs(out) >> 3
const __m128i v0 = _mm_srai_epi16(abs0, 3);
const __m128i v1 = _mm_srai_epi16(abs1, 3);
// bin = min(v, MAX_COEFF_THRESH)
const __m128i bin0 = _mm_min_epi16(v0, max_coeff_thresh);
const __m128i bin1 = _mm_min_epi16(v1, max_coeff_thresh);
// Store.
_mm_storeu_si128((__m128i*)&out[0], bin0);
_mm_storeu_si128((__m128i*)&out[8], bin1);
}
// Convert coefficients to bin.
for (k = 0; k < 16; ++k) {
++distribution[out[k]];
}
}
VP8SetHistogramData(distribution, histo);
}
//------------------------------------------------------------------------------ //------------------------------------------------------------------------------
// Transforms (Paragraph 14.4) // Transforms (Paragraph 14.4)
@ -487,6 +439,54 @@ static void FTransformWHT(const int16_t* in, int16_t* out) {
} }
} }
//------------------------------------------------------------------------------
// Compute susceptibility based on DCT-coeff histograms:
// the higher, the "easier" the macroblock is to compress.
static void CollectHistogram(const uint8_t* ref, const uint8_t* pred,
int start_block, int end_block,
VP8Histogram* const histo) {
const __m128i max_coeff_thresh = _mm_set1_epi16(MAX_COEFF_THRESH);
int j;
int distribution[MAX_COEFF_THRESH + 1] = { 0 };
for (j = start_block; j < end_block; ++j) {
int16_t out[16];
int k;
FTransform(ref + VP8DspScan[j], pred + VP8DspScan[j], out);
// Convert coefficients to bin (within out[]).
{
// Load.
const __m128i out0 = _mm_loadu_si128((__m128i*)&out[0]);
const __m128i out1 = _mm_loadu_si128((__m128i*)&out[8]);
// sign(out) = out >> 15 (0x0000 if positive, 0xffff if negative)
const __m128i sign0 = _mm_srai_epi16(out0, 15);
const __m128i sign1 = _mm_srai_epi16(out1, 15);
// abs(out) = (out ^ sign) - sign
const __m128i xor0 = _mm_xor_si128(out0, sign0);
const __m128i xor1 = _mm_xor_si128(out1, sign1);
const __m128i abs0 = _mm_sub_epi16(xor0, sign0);
const __m128i abs1 = _mm_sub_epi16(xor1, sign1);
// v = abs(out) >> 3
const __m128i v0 = _mm_srai_epi16(abs0, 3);
const __m128i v1 = _mm_srai_epi16(abs1, 3);
// bin = min(v, MAX_COEFF_THRESH)
const __m128i bin0 = _mm_min_epi16(v0, max_coeff_thresh);
const __m128i bin1 = _mm_min_epi16(v1, max_coeff_thresh);
// Store.
_mm_storeu_si128((__m128i*)&out[0], bin0);
_mm_storeu_si128((__m128i*)&out[8], bin1);
}
// Convert coefficients to bin.
for (k = 0; k < 16; ++k) {
++distribution[out[k]];
}
}
VP8SetHistogramData(distribution, histo);
}
//------------------------------------------------------------------------------ //------------------------------------------------------------------------------
// Metric // Metric