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update the Unfilter API in dsp to process one row independently

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This will allow to work in-place on cropped area later.

Also sped up the inverse gradient filtering in SSE2 (~4%)

Change-Id: I463149eee95d36984328f163a1e17f8cabd87441
This commit is contained in:
Pascal Massimino
2016-04-14 19:12:09 +02:00
parent 602f344a36
commit 2102ccd091
8 changed files with 297 additions and 308 deletions
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6
src/dsp/dsp.h
View File

@ -503,8 +503,10 @@ typedef enum { // Filter types.
typedef void (*WebPFilterFunc)(const uint8_t* in, int width, int height,
int stride, uint8_t* out);
typedef void (*WebPUnfilterFunc)(int width, int height, int stride,
int row, int num_rows, uint8_t* data);
// In-place un-filtering.
// Warning! 'prev_line' pointer can be equal to 'cur_line' or 'preds'.
typedef void (*WebPUnfilterFunc)(const uint8_t* prev_line, const uint8_t* preds,
uint8_t* cur_line, int width);
// Filter the given data using the given predictor.
// 'in' corresponds to a 2-dimensional pixel array of size (stride * height)

39
src/dsp/filters.c
View File

@ -184,19 +184,40 @@ static void GradientFilter(const uint8_t* data, int width, int height,
//------------------------------------------------------------------------------
static void VerticalUnfilter(int width, int height, int stride, int row,
int num_rows, uint8_t* data) {
DoVerticalFilter(data, width, height, stride, row, num_rows, 1, data);
static void HorizontalUnfilter(const uint8_t* prev, const uint8_t* in,
uint8_t* out, int width) {
uint8_t pred = (prev == NULL) ? 0 : prev[0];
int i;
for (i = 0; i < width; ++i) {
out[i] = pred + in[i];
pred = out[i];
}
}
static void HorizontalUnfilter(int width, int height, int stride, int row,
int num_rows, uint8_t* data) {
DoHorizontalFilter(data, width, height, stride, row, num_rows, 1, data);
static void VerticalUnfilter(const uint8_t* prev, const uint8_t* in,
uint8_t* out, int width) {
if (prev == NULL) {
HorizontalUnfilter(NULL, in, out, width);
} else {
int i;
for (i = 0; i < width; ++i) out[i] = prev[i] + in[i];
}
}
static void GradientUnfilter(int width, int height, int stride, int row,
int num_rows, uint8_t* data) {
DoGradientFilter(data, width, height, stride, row, num_rows, 1, data);
static void GradientUnfilter(const uint8_t* prev, const uint8_t* in,
uint8_t* out, int width) {
if (prev == NULL) {
HorizontalUnfilter(NULL, in, out, width);
} else {
uint8_t top = prev[0], top_left = top, left = top;
int i;
for (i = 0; i < width; ++i) {
top = prev[i]; // need to read this first, in case prev==out
left = in[i] + GradientPredictor(left, top, top_left);
top_left = top;
out[i] = left;
}
}
}
//------------------------------------------------------------------------------

162
src/dsp/filters_mips_dsp_r2.c
View File

@ -33,12 +33,9 @@
assert(row >= 0 && num_rows > 0 && row + num_rows <= height); \
(void)height; // Silence unused warning.
// if INVERSE
// preds == &dst[-1] == &src[-1]
// else
// preds == &src[-1] != &dst[-1]
#define DO_PREDICT_LINE(SRC, DST, LENGTH, INVERSE) do { \
const uint8_t* psrc = (uint8_t*)(SRC); \
#define DO_PREDICT_LINE(SRC, DST, LENGTH) do { \
const uint8_t* psrc = (const uint8_t*)(SRC); \
uint8_t* pdst = (uint8_t*)(DST); \
const int ilength = (int)(LENGTH); \
int temp0, temp1, temp2, temp3, temp4, temp5, temp6; \
@ -48,25 +45,6 @@
"srl %[temp0], %[length], 0x2 \n\t" \
"beqz %[temp0], 4f \n\t" \
" andi %[temp6], %[length], 0x3 \n\t" \
".if " #INVERSE " \n\t" \
"lbu %[temp1], -1(%[src]) \n\t" \
"1: \n\t" \
"lbu %[temp2], 0(%[src]) \n\t" \
"lbu %[temp3], 1(%[src]) \n\t" \
"lbu %[temp4], 2(%[src]) \n\t" \
"lbu %[temp5], 3(%[src]) \n\t" \
"addiu %[src], %[src], 4 \n\t" \
"addiu %[temp0], %[temp0], -1 \n\t" \
"addu %[temp2], %[temp2], %[temp1] \n\t" \
"addu %[temp3], %[temp3], %[temp2] \n\t" \
"addu %[temp4], %[temp4], %[temp3] \n\t" \
"addu %[temp1], %[temp5], %[temp4] \n\t" \
"sb %[temp2], -4(%[src]) \n\t" \
"sb %[temp3], -3(%[src]) \n\t" \
"sb %[temp4], -2(%[src]) \n\t" \
"bnez %[temp0], 1b \n\t" \
" sb %[temp1], -1(%[src]) \n\t" \
".else \n\t" \
"1: \n\t" \
"ulw %[temp1], -1(%[src]) \n\t" \
"ulw %[temp2], 0(%[src]) \n\t" \
@ -76,7 +54,6 @@
"usw %[temp3], 0(%[dst]) \n\t" \
"bnez %[temp0], 1b \n\t" \
" addiu %[dst], %[dst], 4 \n\t" \
".endif \n\t" \
"4: \n\t" \
"beqz %[temp6], 3f \n\t" \
" nop \n\t" \
@ -84,13 +61,8 @@
"lbu %[temp1], -1(%[src]) \n\t" \
"lbu %[temp2], 0(%[src]) \n\t" \
"addiu %[src], %[src], 1 \n\t" \
".if " #INVERSE " \n\t" \
"addu %[temp3], %[temp1], %[temp2] \n\t" \
"sb %[temp3], -1(%[src]) \n\t" \
".else \n\t" \
"subu %[temp3], %[temp1], %[temp2] \n\t" \
"sb %[temp3], 0(%[dst]) \n\t" \
".endif \n\t" \
"addiu %[temp6], %[temp6], -1 \n\t" \
"bnez %[temp6], 2b \n\t" \
" addiu %[dst], %[dst], 1 \n\t" \
@ -105,12 +77,8 @@
} while (0)
static WEBP_INLINE void PredictLine(const uint8_t* src, uint8_t* dst,
int length, int inverse) {
if (inverse) {
DO_PREDICT_LINE(src, dst, length, 1);
} else {
DO_PREDICT_LINE(src, dst, length, 0);
}
int length) {
DO_PREDICT_LINE(src, dst, length);
}
#define DO_PREDICT_LINE_VERTICAL(SRC, PRED, DST, LENGTH, INVERSE) do { \
@ -172,16 +140,12 @@ static WEBP_INLINE void PredictLine(const uint8_t* src, uint8_t* dst,
); \
} while (0)
#define PREDICT_LINE_ONE_PASS(SRC, PRED, DST, INVERSE) do { \
#define PREDICT_LINE_ONE_PASS(SRC, PRED, DST) do { \
int temp1, temp2, temp3; \
__asm__ volatile ( \
"lbu %[temp1], 0(%[src]) \n\t" \
"lbu %[temp2], 0(%[pred]) \n\t" \
".if " #INVERSE " \n\t" \
"addu %[temp3], %[temp1], %[temp2] \n\t" \
".else \n\t" \
"subu %[temp3], %[temp1], %[temp2] \n\t" \
".endif \n\t" \
"sb %[temp3], 0(%[dst]) \n\t" \
: [temp1]"=&r"(temp1), [temp2]"=&r"(temp2), [temp3]"=&r"(temp3) \
: [pred]"r"((PRED)), [dst]"r"((DST)), [src]"r"((SRC)) \
@ -192,10 +156,10 @@ static WEBP_INLINE void PredictLine(const uint8_t* src, uint8_t* dst,
//------------------------------------------------------------------------------
// Horizontal filter.
#define FILTER_LINE_BY_LINE(INVERSE) do { \
#define FILTER_LINE_BY_LINE do { \
while (row < last_row) { \
PREDICT_LINE_ONE_PASS(in, preds - stride, out, INVERSE); \
DO_PREDICT_LINE(in + 1, out + 1, width - 1, INVERSE); \
PREDICT_LINE_ONE_PASS(in, preds - stride, out); \
DO_PREDICT_LINE(in + 1, out + 1, width - 1); \
++row; \
preds += stride; \
in += stride; \
@ -206,19 +170,19 @@ static WEBP_INLINE void PredictLine(const uint8_t* src, uint8_t* dst,
static WEBP_INLINE void DoHorizontalFilter(const uint8_t* in,
int width, int height, int stride,
int row, int num_rows,
int inverse, uint8_t* out) {
uint8_t* out) {
const uint8_t* preds;
const size_t start_offset = row * stride;
const int last_row = row + num_rows;
SANITY_CHECK(in, out);
in += start_offset;
out += start_offset;
preds = inverse ? out : in;
preds = in;
if (row == 0) {
// Leftmost pixel is the same as input for topmost scanline.
out[0] = in[0];
PredictLine(in + 1, out + 1, width - 1, inverse);
PredictLine(in + 1, out + 1, width - 1);
row = 1;
preds += stride;
in += stride;
@ -226,31 +190,21 @@ static WEBP_INLINE void DoHorizontalFilter(const uint8_t* in,
}
// Filter line-by-line.
if (inverse) {
FILTER_LINE_BY_LINE(1);
} else {
FILTER_LINE_BY_LINE(0);
}
FILTER_LINE_BY_LINE;
}
#undef FILTER_LINE_BY_LINE
static void HorizontalFilter(const uint8_t* data, int width, int height,
int stride, uint8_t* filtered_data) {
DoHorizontalFilter(data, width, height, stride, 0, height, 0, filtered_data);
}
static void HorizontalUnfilter(int width, int height, int stride, int row,
int num_rows, uint8_t* data) {
DoHorizontalFilter(data, width, height, stride, row, num_rows, 1, data);
DoHorizontalFilter(data, width, height, stride, 0, height, filtered_data);
}
//------------------------------------------------------------------------------
// Vertical filter.
#define FILTER_LINE_BY_LINE(INVERSE) do { \
#define FILTER_LINE_BY_LINE do { \
while (row < last_row) { \
DO_PREDICT_LINE_VERTICAL(in, preds, out, width, INVERSE); \
DO_PREDICT_LINE_VERTICAL(in, preds, out, width, 0); \
++row; \
preds += stride; \
in += stride; \
@ -260,21 +214,20 @@ static void HorizontalUnfilter(int width, int height, int stride, int row,
static WEBP_INLINE void DoVerticalFilter(const uint8_t* in,
int width, int height, int stride,
int row, int num_rows,
int inverse, uint8_t* out) {
int row, int num_rows, uint8_t* out) {
const uint8_t* preds;
const size_t start_offset = row * stride;
const int last_row = row + num_rows;
SANITY_CHECK(in, out);
in += start_offset;
out += start_offset;
preds = inverse ? out : in;
preds = in;
if (row == 0) {
// Very first top-left pixel is copied.
out[0] = in[0];
// Rest of top scan-line is left-predicted.
PredictLine(in + 1, out + 1, width - 1, inverse);
PredictLine(in + 1, out + 1, width - 1);
row = 1;
in += stride;
out += stride;
@ -284,24 +237,13 @@ static WEBP_INLINE void DoVerticalFilter(const uint8_t* in,
}
// Filter line-by-line.
if (inverse) {
FILTER_LINE_BY_LINE(1);
} else {
FILTER_LINE_BY_LINE(0);
}
FILTER_LINE_BY_LINE;
}
#undef FILTER_LINE_BY_LINE
#undef DO_PREDICT_LINE_VERTICAL
static void VerticalFilter(const uint8_t* data, int width, int height,
int stride, uint8_t* filtered_data) {
DoVerticalFilter(data, width, height, stride, 0, height, 0, filtered_data);
}
static void VerticalUnfilter(int width, int height, int stride, int row,
int num_rows, uint8_t* data) {
DoVerticalFilter(data, width, height, stride, row, num_rows, 1, data);
DoVerticalFilter(data, width, height, stride, 0, height, filtered_data);
}
//------------------------------------------------------------------------------
@ -321,10 +263,10 @@ static WEBP_INLINE int GradientPredictor(uint8_t a, uint8_t b, uint8_t c) {
return temp0;
}
#define FILTER_LINE_BY_LINE(INVERSE, PREDS, OPERATION) do { \
#define FILTER_LINE_BY_LINE(PREDS, OPERATION) do { \
while (row < last_row) { \
int w; \
PREDICT_LINE_ONE_PASS(in, PREDS - stride, out, INVERSE); \
PREDICT_LINE_ONE_PASS(in, PREDS - stride, out); \
for (w = 1; w < width; ++w) { \
const int pred = GradientPredictor(PREDS[w - 1], \
PREDS[w - stride], \
@ -339,20 +281,19 @@ static WEBP_INLINE int GradientPredictor(uint8_t a, uint8_t b, uint8_t c) {
static WEBP_INLINE void DoGradientFilter(const uint8_t* in,
int width, int height, int stride,
int row, int num_rows,
int inverse, uint8_t* out) {
int row, int num_rows, uint8_t* out) {
const uint8_t* preds;
const size_t start_offset = row * stride;
const int last_row = row + num_rows;
SANITY_CHECK(in, out);
in += start_offset;
out += start_offset;
preds = inverse ? out : in;
preds = in;
// left prediction for top scan-line
if (row == 0) {
out[0] = in[0];
PredictLine(in + 1, out + 1, width - 1, inverse);
PredictLine(in + 1, out + 1, width - 1);
row = 1;
preds += stride;
in += stride;
@ -360,25 +301,50 @@ static WEBP_INLINE void DoGradientFilter(const uint8_t* in,
}
// Filter line-by-line.
if (inverse) {
FILTER_LINE_BY_LINE(1, out, +);
} else {
FILTER_LINE_BY_LINE(0, in, -);
}
FILTER_LINE_BY_LINE(in, -);
}
#undef FILTER_LINE_BY_LINE
static void GradientFilter(const uint8_t* data, int width, int height,
int stride, uint8_t* filtered_data) {
DoGradientFilter(data, width, height, stride, 0, height, 0, filtered_data);
DoGradientFilter(data, width, height, stride, 0, height, filtered_data);
}
static void GradientUnfilter(int width, int height, int stride, int row,
int num_rows, uint8_t* data) {
DoGradientFilter(data, width, height, stride, row, num_rows, 1, data);
//------------------------------------------------------------------------------
static void HorizontalUnfilter(const uint8_t* prev, const uint8_t* in,
uint8_t* out, int width) {
int i;
out[0] = in[0] + (prev == NULL ? 0 : prev[0]);
for (i = 1; i < width; ++i) out[i] = in[i] + out[i - 1];
}
static void VerticalUnfilter(const uint8_t* prev, const uint8_t* in,
uint8_t* out, int width) {
if (prev == NULL) {
HorizontalUnfilter(NULL, in, out, width);
} else {
DO_PREDICT_LINE_VERTICAL(in, prev, out, width, 1);
}
}
static void GradientUnfilter(const uint8_t* prev, const uint8_t* in,
uint8_t* out, int width) {
if (prev == NULL) {
HorizontalUnfilter(NULL, in, out, width);
} else {
uint8_t top = prev[0], top_left = top, left = top;
int i;
for (i = 0; i < width; ++i) {
top = prev[i]; // need to read this first, in case prev==dst
left = in[i] + GradientPredictor(left, top, top_left);
top_left = top;
out[i] = left;
}
}
}
#undef DO_PREDICT_LINE_VERTICAL
#undef PREDICT_LINE_ONE_PASS
#undef DO_PREDICT_LINE
#undef SANITY_CHECK
@ -389,13 +355,13 @@ static void GradientUnfilter(int width, int height, int stride, int row,
extern void VP8FiltersInitMIPSdspR2(void);
WEBP_TSAN_IGNORE_FUNCTION void VP8FiltersInitMIPSdspR2(void) {
WebPFilters[WEBP_FILTER_HORIZONTAL] = HorizontalFilter;
WebPFilters[WEBP_FILTER_VERTICAL] = VerticalFilter;
WebPFilters[WEBP_FILTER_GRADIENT] = GradientFilter;
WebPUnfilters[WEBP_FILTER_HORIZONTAL] = HorizontalUnfilter;
WebPUnfilters[WEBP_FILTER_VERTICAL] = VerticalUnfilter;
WebPUnfilters[WEBP_FILTER_GRADIENT] = GradientUnfilter;
WebPFilters[WEBP_FILTER_HORIZONTAL] = HorizontalFilter;
WebPFilters[WEBP_FILTER_VERTICAL] = VerticalFilter;
WebPFilters[WEBP_FILTER_GRADIENT] = GradientFilter;
}
#else // !WEBP_USE_MIPS_DSP_R2

310
src/dsp/filters_sse2.c
View File

@ -33,82 +33,39 @@
(void)height; // Silence unused warning.
static void PredictLineTop(const uint8_t* src, const uint8_t* pred,
uint8_t* dst, int length, int inverse) {
uint8_t* dst, int length) {
int i;
const int max_pos = length & ~31;
assert(length >= 0);
if (inverse) {
for (i = 0; i < max_pos; i += 32) {
const __m128i A0 = _mm_loadu_si128((const __m128i*)&src[i + 0]);
const __m128i A1 = _mm_loadu_si128((const __m128i*)&src[i + 16]);
const __m128i B0 = _mm_loadu_si128((const __m128i*)&pred[i + 0]);
const __m128i B1 = _mm_loadu_si128((const __m128i*)&pred[i + 16]);
const __m128i C0 = _mm_add_epi8(A0, B0);
const __m128i C1 = _mm_add_epi8(A1, B1);
_mm_storeu_si128((__m128i*)&dst[i + 0], C0);
_mm_storeu_si128((__m128i*)&dst[i + 16], C1);
}
for (; i < length; ++i) dst[i] = src[i] + pred[i];
} else {
for (i = 0; i < max_pos; i += 32) {
const __m128i A0 = _mm_loadu_si128((const __m128i*)&src[i + 0]);
const __m128i A1 = _mm_loadu_si128((const __m128i*)&src[i + 16]);
const __m128i B0 = _mm_loadu_si128((const __m128i*)&pred[i + 0]);
const __m128i B1 = _mm_loadu_si128((const __m128i*)&pred[i + 16]);
const __m128i C0 = _mm_sub_epi8(A0, B0);
const __m128i C1 = _mm_sub_epi8(A1, B1);
_mm_storeu_si128((__m128i*)&dst[i + 0], C0);
_mm_storeu_si128((__m128i*)&dst[i + 16], C1);
}
for (; i < length; ++i) dst[i] = src[i] - pred[i];
for (i = 0; i < max_pos; i += 32) {
const __m128i A0 = _mm_loadu_si128((const __m128i*)&src[i + 0]);
const __m128i A1 = _mm_loadu_si128((const __m128i*)&src[i + 16]);
const __m128i B0 = _mm_loadu_si128((const __m128i*)&pred[i + 0]);
const __m128i B1 = _mm_loadu_si128((const __m128i*)&pred[i + 16]);
const __m128i C0 = _mm_sub_epi8(A0, B0);
const __m128i C1 = _mm_sub_epi8(A1, B1);
_mm_storeu_si128((__m128i*)&dst[i + 0], C0);
_mm_storeu_si128((__m128i*)&dst[i + 16], C1);
}
for (; i < length; ++i) dst[i] = src[i] - pred[i];
}
// Special case for left-based prediction (when preds==dst-1 or preds==src-1).
static void PredictLineLeft(const uint8_t* src, uint8_t* dst, int length,
int inverse) {
static void PredictLineLeft(const uint8_t* src, uint8_t* dst, int length) {
int i;
if (length <= 0) return;
if (inverse) {
const int max_pos = length & ~7;
__m128i last = _mm_set_epi32(0, 0, 0, dst[-1]);
for (i = 0; i < max_pos; i += 8) {
const __m128i A0 = _mm_loadl_epi64((const __m128i*)(src + i));
const __m128i A1 = _mm_add_epi8(A0, last);
const __m128i A2 = _mm_slli_si128(A1, 1);
const __m128i A3 = _mm_add_epi8(A1, A2);
const __m128i A4 = _mm_slli_si128(A3, 2);
const __m128i A5 = _mm_add_epi8(A3, A4);
const __m128i A6 = _mm_slli_si128(A5, 4);
const __m128i A7 = _mm_add_epi8(A5, A6);
_mm_storel_epi64((__m128i*)(dst + i), A7);
last = _mm_srli_epi64(A7, 56);
}
for (; i < length; ++i) dst[i] = src[i] + dst[i - 1];
} else {
const int max_pos = length & ~31;
for (i = 0; i < max_pos; i += 32) {
const __m128i A0 = _mm_loadu_si128((const __m128i*)(src + i + 0 ));
const __m128i B0 = _mm_loadu_si128((const __m128i*)(src + i + 0 - 1));
const __m128i A1 = _mm_loadu_si128((const __m128i*)(src + i + 16 ));
const __m128i B1 = _mm_loadu_si128((const __m128i*)(src + i + 16 - 1));
const __m128i C0 = _mm_sub_epi8(A0, B0);
const __m128i C1 = _mm_sub_epi8(A1, B1);
_mm_storeu_si128((__m128i*)(dst + i + 0), C0);
_mm_storeu_si128((__m128i*)(dst + i + 16), C1);
}
for (; i < length; ++i) dst[i] = src[i] - src[i - 1];
}
}
static void PredictLineC(const uint8_t* src, const uint8_t* pred,
uint8_t* dst, int length, int inverse) {
int i;
if (inverse) {
for (i = 0; i < length; ++i) dst[i] = src[i] + pred[i];
} else {
for (i = 0; i < length; ++i) dst[i] = src[i] - pred[i];
const int max_pos = length & ~31;
assert(length >= 0);
for (i = 0; i < max_pos; i += 32) {
const __m128i A0 = _mm_loadu_si128((const __m128i*)(src + i + 0 ));
const __m128i B0 = _mm_loadu_si128((const __m128i*)(src + i + 0 - 1));
const __m128i A1 = _mm_loadu_si128((const __m128i*)(src + i + 16 ));
const __m128i B1 = _mm_loadu_si128((const __m128i*)(src + i + 16 - 1));
const __m128i C0 = _mm_sub_epi8(A0, B0);
const __m128i C1 = _mm_sub_epi8(A1, B1);
_mm_storeu_si128((__m128i*)(dst + i + 0), C0);
_mm_storeu_si128((__m128i*)(dst + i + 16), C1);
}
for (; i < length; ++i) dst[i] = src[i] - src[i - 1];
}
//------------------------------------------------------------------------------
@ -117,21 +74,18 @@ static void PredictLineC(const uint8_t* src, const uint8_t* pred,
static WEBP_INLINE void DoHorizontalFilter(const uint8_t* in,
int width, int height, int stride,
int row, int num_rows,
int inverse, uint8_t* out) {
const uint8_t* preds;
uint8_t* out) {
const size_t start_offset = row * stride;
const int last_row = row + num_rows;
SANITY_CHECK(in, out);
in += start_offset;
out += start_offset;
preds = inverse ? out : in;
if (row == 0) {
// Leftmost pixel is the same as input for topmost scanline.
out[0] = in[0];
PredictLineLeft(in + 1, out + 1, width - 1, inverse);
PredictLineLeft(in + 1, out + 1, width - 1);
row = 1;
preds += stride;
in += stride;
out += stride;
}
@ -139,10 +93,9 @@ static WEBP_INLINE void DoHorizontalFilter(const uint8_t* in,
// Filter line-by-line.
while (row < last_row) {
// Leftmost pixel is predicted from above.
PredictLineC(in, preds - stride, out, 1, inverse);
PredictLineLeft(in + 1, out + 1, width - 1, inverse);
out[0] = in[0] - in[-stride];
PredictLineLeft(in + 1, out + 1, width - 1);
++row;
preds += stride;
in += stride;
out += stride;
}
@ -153,34 +106,27 @@ static WEBP_INLINE void DoHorizontalFilter(const uint8_t* in,
static WEBP_INLINE void DoVerticalFilter(const uint8_t* in,
int width, int height, int stride,
int row, int num_rows,
int inverse, uint8_t* out) {
const uint8_t* preds;
int row, int num_rows, uint8_t* out) {
const size_t start_offset = row * stride;
const int last_row = row + num_rows;
SANITY_CHECK(in, out);
in += start_offset;
out += start_offset;
preds = inverse ? out : in;
if (row == 0) {
// Very first top-left pixel is copied.
out[0] = in[0];
// Rest of top scan-line is left-predicted.
PredictLineLeft(in + 1, out + 1, width - 1, inverse);
PredictLineLeft(in + 1, out + 1, width - 1);
row = 1;
in += stride;
out += stride;
} else {
// We are starting from in-between. Make sure 'preds' points to prev row.
preds -= stride;
}
// Filter line-by-line.
while (row < last_row) {
PredictLineTop(in, preds, out, width, inverse);
PredictLineTop(in, in - stride, out, width);
++row;
preds += stride;
in += stride;
out += stride;
}
@ -219,6 +165,101 @@ static void GradientPredictDirect(const uint8_t* const row,
}
}
static WEBP_INLINE void DoGradientFilter(const uint8_t* in,
int width, int height, int stride,
int row, int num_rows,
uint8_t* out) {
const size_t start_offset = row * stride;
const int last_row = row + num_rows;
SANITY_CHECK(in, out);
in += start_offset;
out += start_offset;
// left prediction for top scan-line
if (row == 0) {
out[0] = in[0];
PredictLineLeft(in + 1, out + 1, width - 1);
row = 1;
in += stride;
out += stride;
}
// Filter line-by-line.
while (row < last_row) {
out[0] = in[0] - in[-stride];
GradientPredictDirect(in + 1, in + 1 - stride, out + 1, width - 1);
++row;
in += stride;
out += stride;
}
}
#undef SANITY_CHECK
//------------------------------------------------------------------------------
static void HorizontalFilter(const uint8_t* data, int width, int height,
int stride, uint8_t* filtered_data) {
DoHorizontalFilter(data, width, height, stride, 0, height, filtered_data);
}
static void VerticalFilter(const uint8_t* data, int width, int height,
int stride, uint8_t* filtered_data) {
DoVerticalFilter(data, width, height, stride, 0, height, filtered_data);
}
static void GradientFilter(const uint8_t* data, int width, int height,
int stride, uint8_t* filtered_data) {
DoGradientFilter(data, width, height, stride, 0, height, filtered_data);
}
//------------------------------------------------------------------------------
// Inverse transforms
static void HorizontalUnfilter(const uint8_t* prev, const uint8_t* in,
uint8_t* out, int width) {
int i;
__m128i last;
out[0] = in[0] + (prev == NULL ? 0 : prev[0]);
if (width <= 1) return;
last = _mm_set_epi32(0, 0, 0, out[0]);
for (i = 1; i + 8 <= width; i += 8) {
const __m128i A0 = _mm_loadl_epi64((const __m128i*)(in + i));
const __m128i A1 = _mm_add_epi8(A0, last);
const __m128i A2 = _mm_slli_si128(A1, 1);
const __m128i A3 = _mm_add_epi8(A1, A2);
const __m128i A4 = _mm_slli_si128(A3, 2);
const __m128i A5 = _mm_add_epi8(A3, A4);
const __m128i A6 = _mm_slli_si128(A5, 4);
const __m128i A7 = _mm_add_epi8(A5, A6);
_mm_storel_epi64((__m128i*)(out + i), A7);
last = _mm_srli_epi64(A7, 56);
}
for (; i < width; ++i) out[i] = in[i] + out[i - 1];
}
static void VerticalUnfilter(const uint8_t* prev, const uint8_t* in,
uint8_t* out, int width) {
if (prev == NULL) {
HorizontalUnfilter(NULL, in, out, width);
} else {
int i;
const int max_pos = width & ~31;
assert(width >= 0);
for (i = 0; i < max_pos; i += 32) {
const __m128i A0 = _mm_loadu_si128((const __m128i*)&in[i + 0]);
const __m128i A1 = _mm_loadu_si128((const __m128i*)&in[i + 16]);
const __m128i B0 = _mm_loadu_si128((const __m128i*)&prev[i + 0]);
const __m128i B1 = _mm_loadu_si128((const __m128i*)&prev[i + 16]);
const __m128i C0 = _mm_add_epi8(A0, B0);
const __m128i C1 = _mm_add_epi8(A1, B1);
_mm_storeu_si128((__m128i*)&out[i + 0], C0);
_mm_storeu_si128((__m128i*)&out[i + 16], C1);
}
for (; i < width; ++i) out[i] = in[i] + prev[i];
}
}
static void GradientPredictInverse(const uint8_t* const in,
const uint8_t* const top,
uint8_t* const row, int length) {
@ -232,25 +273,24 @@ static void GradientPredictInverse(const uint8_t* const in,
const __m128i tmp1 = _mm_loadl_epi64((const __m128i*)&top[i - 1]);
const __m128i B = _mm_unpacklo_epi8(tmp0, zero);
const __m128i C = _mm_unpacklo_epi8(tmp1, zero);
const __m128i tmp2 = _mm_loadl_epi64((const __m128i*)&in[i]);
const __m128i D = _mm_unpacklo_epi8(tmp2, zero); // base input
const __m128i D = _mm_loadl_epi64((const __m128i*)&in[i]); // base input
const __m128i E = _mm_sub_epi16(B, C); // unclipped gradient basis B - C
__m128i out = zero; // accumulator for output
__m128i mask_hi = _mm_set_epi32(0, 0, 0, 0xff);
int k = 8;
while (1) {
const __m128i tmp3 = _mm_add_epi16(A, E); // delta = A + B - C
const __m128i tmp4 = _mm_min_epi16(tmp3, mask_hi);
const __m128i tmp5 = _mm_max_epi16(tmp4, zero); // clipped delta
const __m128i tmp6 = _mm_add_epi16(tmp5, D); // add to in[] values
A = _mm_and_si128(tmp6, mask_hi); // 1-complement clip
out = _mm_or_si128(out, A); // accumulate output
const __m128i tmp3 = _mm_add_epi16(A, E); // delta = A + B - C
const __m128i tmp4 = _mm_packus_epi16(tmp3, zero); // saturate delta
const __m128i tmp5 = _mm_add_epi8(tmp4, D); // add to in[]
A = _mm_and_si128(tmp5, mask_hi); // 1-complement clip
out = _mm_or_si128(out, A); // accumulate output
if (--k == 0) break;
A = _mm_slli_si128(A, 2); // rotate left sample
mask_hi = _mm_slli_si128(mask_hi, 2); // rotate mask
A = _mm_slli_si128(A, 1); // rotate left sample
mask_hi = _mm_slli_si128(mask_hi, 1); // rotate mask
A = _mm_unpacklo_epi8(A, zero); // convert 8b->16b
}
A = _mm_srli_si128(A, 14); // prepare left sample for next iteration
_mm_storel_epi64((__m128i*)&row[i], _mm_packus_epi16(out, zero));
A = _mm_srli_si128(A, 7); // prepare left sample for next iteration
_mm_storel_epi64((__m128i*)&row[i], out);
}
for (; i < length; ++i) {
row[i] = in[i] + GradientPredictorC(row[i - 1], top[i], top[i - 1]);
@ -258,76 +298,14 @@ static void GradientPredictInverse(const uint8_t* const in,
}
}
static WEBP_INLINE void DoGradientFilter(const uint8_t* in,
int width, int height, int stride,
int row, int num_rows,
int inverse, uint8_t* out) {
const size_t start_offset = row * stride;
const int last_row = row + num_rows;
SANITY_CHECK(in, out);
in += start_offset;
out += start_offset;
// left prediction for top scan-line
if (row == 0) {
out[0] = in[0];
PredictLineLeft(in + 1, out + 1, width - 1, inverse);
row = 1;
in += stride;
out += stride;
static void GradientUnfilter(const uint8_t* prev, const uint8_t* in,
uint8_t* out, int width) {
if (prev == NULL) {
HorizontalUnfilter(NULL, in, out, width);
} else {
out[0] = in[0] + prev[0]; // predict from above
GradientPredictInverse(in + 1, prev + 1, out + 1, width - 1);
}
// Filter line-by-line.
while (row < last_row) {
if (inverse) {
PredictLineC(in, out - stride, out, 1, inverse); // predict from above
GradientPredictInverse(in + 1, out + 1 - stride, out + 1, width - 1);
} else {
PredictLineC(in, in - stride, out, 1, inverse);
GradientPredictDirect(in + 1, in + 1 - stride, out + 1, width - 1);
}
++row;
in += stride;
out += stride;
}
}
#undef SANITY_CHECK
//------------------------------------------------------------------------------
static void HorizontalFilter(const uint8_t* data, int width, int height,
int stride, uint8_t* filtered_data) {
DoHorizontalFilter(data, width, height, stride, 0, height, 0, filtered_data);
}
static void VerticalFilter(const uint8_t* data, int width, int height,
int stride, uint8_t* filtered_data) {
DoVerticalFilter(data, width, height, stride, 0, height, 0, filtered_data);
}
static void GradientFilter(const uint8_t* data, int width, int height,
int stride, uint8_t* filtered_data) {
DoGradientFilter(data, width, height, stride, 0, height, 0, filtered_data);
}
//------------------------------------------------------------------------------
static void VerticalUnfilter(int width, int height, int stride, int row,
int num_rows, uint8_t* data) {
DoVerticalFilter(data, width, height, stride, row, num_rows, 1, data);
}
static void HorizontalUnfilter(int width, int height, int stride, int row,
int num_rows, uint8_t* data) {
DoHorizontalFilter(data, width, height, stride, row, num_rows, 1, data);
}
static void GradientUnfilter(int width, int height, int stride, int row,
int num_rows, uint8_t* data) {
DoGradientFilter(data, width, height, stride, row, num_rows, 1, data);
}
//------------------------------------------------------------------------------