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fixed for 2 channels

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This commit is contained in:
Ilya Lavrenov
2014-02-19 18:13:09 +04:00
parent 7faf1f6277
commit 634e8d37cc
4 changed files with 84 additions and 29 deletions
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4
modules/photo/perf/opencl/perf_denoising.cpp
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@@ -45,7 +45,7 @@ OCL_PERF_TEST(Photo, DenoisingColored)
SANITY_CHECK(result);
}
OCL_PERF_TEST(Photo, DenoisingGrayscaleMulti)
OCL_PERF_TEST(Photo, DESABLED_DenoisingGrayscaleMulti)
{
const int imgs_count = 3;
@@ -68,7 +68,7 @@ OCL_PERF_TEST(Photo, DenoisingGrayscaleMulti)
SANITY_CHECK(result);
}
OCL_PERF_TEST(Photo, DenoisingColoredMulti)
OCL_PERF_TEST(Photo, DESABLED_DenoisingColoredMulti)
{
const int imgs_count = 3;

35
modules/photo/src/fast_nlmeans_denoising_invoker_commons.hpp
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@@ -84,7 +84,6 @@ template <typename T> static inline void incWithWeight(int* estimation, int weig
template <> inline void incWithWeight(int* estimation, int weight, uchar p)
{
estimation[0] += weight * p;
}
@@ -101,6 +100,24 @@ template <> inline void incWithWeight(int* estimation, int weight, Vec3b p)
estimation[2] += weight * p[2];
}
template <> inline void incWithWeight(int* estimation, int weight, int p)
{
estimation[0] += weight * p;
}
template <> inline void incWithWeight(int* estimation, int weight, Vec2i p)
{
estimation[0] += weight * p[0];
estimation[1] += weight * p[1];
}
template <> inline void incWithWeight(int* estimation, int weight, Vec3i p)
{
estimation[0] += weight * p[0];
estimation[1] += weight * p[1];
estimation[2] += weight * p[2];
}
template <typename T> static inline T saturateCastFromArray(int* estimation);
template <> inline uchar saturateCastFromArray(int* estimation)
@@ -125,4 +142,20 @@ template <> inline Vec3b saturateCastFromArray(int* estimation)
return res;
}
template <> inline int saturateCastFromArray(int* estimation)
{
return estimation[0];
}
template <> inline Vec2i saturateCastFromArray(int* estimation)
{
estimation[1] = 0;
return Vec2i(estimation);
}
template <> inline Vec3i saturateCastFromArray(int* estimation)
{
return Vec3i(estimation);
}
#endif

70
modules/photo/src/opencl/nlmeans.cl
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@@ -40,41 +40,61 @@ __kernel void calcAlmostDist2Weight(__global int * almostDist2Weight, int almost
#elif defined OP_CALC_FASTNLMEANS
#define noconvert
#define SEARCH_SIZE_SQ (SEARCH_SIZE * SEARCH_SIZE)
inline int_t calcDist(uchar_t a, uchar_t b)
inline int calcDist(uchar_t a, uchar_t b)
{
int_t diff = convert_int_t(a) - convert_int_t(b);
return diff * diff;
int_t retval = diff * diff;
#if cn == 1
return retval;
#elif cn == 2
return retval.x + retval.y;
#else
#error "cn should be either 1 or 2"
#endif
}
inline int_t calcDistUpDown(uchar_t down_value, uchar_t down_value_t, uchar_t up_value, uchar_t up_value_t)
inline int calcDistUpDown(uchar_t down_value, uchar_t down_value_t, uchar_t up_value, uchar_t up_value_t)
{
int_t A = convert_int_t(down_value) - convert_int_t(down_value_t);
int_t B = convert_int_t(up_value) - convert_int_t(up_value_t);
return (A - B) * (A + B);
int_t retval = (A - B) * (A + B);
#if cn == 1
return retval;
#elif cn == 2
return retval.x + retval.y;
#else
#error "cn should be either 1 or 2"
#endif
}
#define COND if (x == 0 && y == 0)
inline void calcFirstElementInRow(__global const uchar * src, int src_step, int src_offset,
__local int_t * dists, int y, int x, int id,
__global int_t * col_dists, __global int_t * up_col_dists)
__local int * dists, int y, int x, int id,
__global int * col_dists, __global int * up_col_dists)
{
y -= TEMPLATE_SIZE2;
int sx = x - SEARCH_SIZE2, sy = y - SEARCH_SIZE2;
int_t col_dists_current_private[TEMPLATE_SIZE];
int col_dists_current_private[TEMPLATE_SIZE];
for (int i = id, size = SEARCH_SIZE_SQ; i < size; i += CTA_SIZE)
{
int_t dist = (int_t)(0), value;
int dist = 0, value;
__global const uchar_t * src_template = (__global const uchar_t *)(src +
mad24(sy + i / SEARCH_SIZE, src_step, mad24(cn, sx + i % SEARCH_SIZE, src_offset)));
__global const uchar_t * src_current = (__global const uchar_t *)(src + mad24(y, src_step, mad24(cn, x, src_offset)));
__global int_t * col_dists_current = col_dists + i * TEMPLATE_SIZE;
__global int * col_dists_current = col_dists + i * TEMPLATE_SIZE;
#pragma unroll
for (int j = 0; j < TEMPLATE_SIZE; ++j)
col_dists_current_private[j] = (int_t)(0);
col_dists_current_private[j] = 0;
for (int ty = 0; ty < TEMPLATE_SIZE; ++ty)
{
@@ -95,14 +115,16 @@ inline void calcFirstElementInRow(__global const uchar * src, int src_step, int
for (int j = 0; j < TEMPLATE_SIZE; ++j)
col_dists_current[j] = col_dists_current_private[j];
// COND printf("%d %d\n", i, convert_int(dist));
dists[i] = dist;
up_col_dists[0 + i] = col_dists[TEMPLATE_SIZE - 1];
}
}
inline void calcElementInFirstRow(__global const uchar * src, int src_step, int src_offset,
__local int_t * dists, int y, int x0, int x, int id, int first,
__global int_t * col_dists, __global int_t * up_col_dists)
__local int * dists, int y, int x0, int x, int id, int first,
__global int * col_dists, __global int * up_col_dists)
{
x += TEMPLATE_SIZE2;
y -= TEMPLATE_SIZE2;
@@ -113,9 +135,9 @@ inline void calcElementInFirstRow(__global const uchar * src, int src_step, int
__global const uchar_t * src_current = (__global const uchar_t *)(src + mad24(y, src_step, mad24(cn, x, src_offset)));
__global const uchar_t * src_template = (__global const uchar_t *)(src +
mad24(sy + i / SEARCH_SIZE, src_step, mad24(cn, sx + i % SEARCH_SIZE, src_offset)));
__global int_t * col_dists_current = col_dists + TEMPLATE_SIZE * i;
__global int * col_dists_current = col_dists + TEMPLATE_SIZE * i;
int_t col_dist = (int_t)(0);
int col_dist = 0;
#pragma unroll
for (int ty = 0; ty < TEMPLATE_SIZE; ++ty)
@@ -133,8 +155,8 @@ inline void calcElementInFirstRow(__global const uchar * src, int src_step, int
}
inline void calcElement(__global const uchar * src, int src_step, int src_offset,
__local int_t * dists, int y, int x0, int x, int id, int first,
__global int_t * col_dists, __global int_t * up_col_dists)
__local int * dists, int y, int x0, int x, int id, int first,
__global int * col_dists, __global int * up_col_dists)
{
int sx = x + TEMPLATE_SIZE2;
int sy_up = y - TEMPLATE_SIZE2 - 1;
@@ -154,10 +176,10 @@ inline void calcElement(__global const uchar * src, int src_step, int src_offset
uchar_t up_value_t = *(__global const uchar_t *)(src + mad24(sy_up + wy, src_step, mad24(cn, sx + wx, src_offset)));
uchar_t down_value_t = *(__global const uchar_t *)(src + mad24(sy_down + wy, src_step, mad24(cn, sx + wx, src_offset)));
__global int_t * col_dists_current = col_dists + mad24(i, TEMPLATE_SIZE, first);
__global int_t * up_col_dists_current = up_col_dists + mad24(x0, SEARCH_SIZE_SQ, i);
__global int * col_dists_current = col_dists + mad24(i, TEMPLATE_SIZE, first);
__global int * up_col_dists_current = up_col_dists + mad24(x0, SEARCH_SIZE_SQ, i);
int_t col_dist = up_col_dists_current[0] + calcDistUpDown(down_value, down_value_t, up_value, up_value_t);
int col_dist = up_col_dists_current[0] + calcDistUpDown(down_value, down_value_t, up_value, up_value_t);
dists[i] += col_dist - col_dists_current[0];
col_dists_current[0] = col_dist;
@@ -219,7 +241,7 @@ inline void convolveWindow(__global const uchar * src, int src_step, int src_off
weighted_sum_local[2] + weighted_sum_local[3];
int weights_local_0 = weights_local[0] + weights_local[1] + weights_local[2] + weights_local[3];
*(__global uchar_t *)(dst + dst_index) = convert_uchar_t(weighted_sum_local_0 / weights_local_0);
*(__global uchar_t *)(dst + dst_index) = convert_uchar_t(weighted_sum_local_0 / (int_t)(weights_local_0));
}
}
@@ -232,8 +254,8 @@ __kernel void fastNlMeansDenoising(__global const uchar * src, int src_step, int
int block_y = get_group_id(1);
int id = get_local_id(0), first;
__local int_t dists[SEARCH_SIZE_SQ], weighted_sum[CTA_SIZE2];
__local int weights[CTA_SIZE2];
__local int dists[SEARCH_SIZE_SQ], weights[CTA_SIZE2];
__local int_t weighted_sum[CTA_SIZE2];
int x0 = block_x * BLOCK_COLS, x1 = min(x0 + BLOCK_COLS, dst_cols);
int y0 = block_y * BLOCK_ROWS, y1 = min(y0 + BLOCK_ROWS, dst_rows);
@@ -241,8 +263,8 @@ __kernel void fastNlMeansDenoising(__global const uchar * src, int src_step, int
// for each group we need SEARCH_SIZE_SQ * TEMPLATE_SIZE integer buffer for storing part column sum for current element
// and SEARCH_SIZE_SQ * BLOCK_COLS integer buffer for storing last column sum for each element of search window of up row
int block_data_start = SEARCH_SIZE_SQ * (mad24(block_y, dst_cols, x0) + mad24(block_y, nblocks_x, block_x) * TEMPLATE_SIZE);
__global int_t * col_dists = (__global int_t *)(buffer + block_data_start * sizeof(int_t));
__global int_t * up_col_dists = col_dists + SEARCH_SIZE_SQ * TEMPLATE_SIZE;
__global int * col_dists = (__global int *)(buffer + block_data_start * sizeof(int));
__global int * up_col_dists = col_dists + SEARCH_SIZE_SQ * TEMPLATE_SIZE;
for (int y = y0; y < y1; ++y)
for (int x = x0; x < x1; ++x)

4
modules/photo/test/ocl/test_denoising.cpp
View File

@@ -71,7 +71,7 @@ PARAM_TEST_CASE(FastNlMeansDenoisingTestBase, Channels, bool)
{
const int type = CV_8UC(cn);
Size roiSize = randomSize(10, MAX_VALUE);
Size roiSize = randomSize(1, MAX_VALUE);
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, roiSize, srcBorder, type, 0, 255);
@@ -98,7 +98,7 @@ OCL_TEST_P(FastNlMeansDenoising, Mat)
}
}
OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoising, Combine(Values((Channels)1), Bool()));
OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoising, Combine(Values(1, 2), Bool()));
} } // namespace cvtest::ocl