mirror of https://github.com/opencv/opencv.git
bitexact gaussianblur implementation (#10345)
* Bit-exact implementation of GaussianBlur smoothing * Added universal intrinsics based implementation for bit-exact CV_8U GaussianBlur smoothing. * Added parallel_for to evaluation of bit-exact GaussianBlur * Added custom implementations for 3x3 and 5x5 bit-exact GaussianBlurpull/10690/head
parent
87db636c61
commit
12ea8477a3
3 changed files with 1604 additions and 10 deletions
File diff suppressed because it is too large
Load Diff
@ -0,0 +1,167 @@ |
||||
// This file is part of OpenCV project.
|
||||
// It is subject to the license terms in the LICENSE file found in the top-level directory
|
||||
// of this distribution and at http://opencv.org/license.html.
|
||||
|
||||
#include "test_precomp.hpp" |
||||
|
||||
#include <vector> |
||||
|
||||
using namespace cv; |
||||
using namespace std; |
||||
|
||||
namespace |
||||
{ |
||||
static const int fixedShiftU8 = 8; |
||||
static const int64_t fixedOne = (1L << fixedShiftU8); |
||||
|
||||
int64_t v[][9] = { |
||||
{ fixedOne }, // size 1, sigma 0
|
||||
{ fixedOne >> 2, fixedOne >> 1, fixedOne >> 2 }, // size 3, sigma 0
|
||||
{ fixedOne >> 4, fixedOne >> 2, 6 * (fixedOne >> 4), fixedOne >> 2, fixedOne >> 4 }, // size 5, sigma 0
|
||||
{ fixedOne >> 5, 7 * (fixedOne >> 6), 7 * (fixedOne >> 5), 9 * (fixedOne >> 5), 7 * (fixedOne >> 5), 7 * (fixedOne >> 6), fixedOne >> 5 }, // size 7, sigma 0
|
||||
{ 4, 13, 30, 51, 61, 51, 30, 13, 4 }, // size 9, sigma 0
|
||||
{ 81, 95, 81 }, // size 3, sigma 1.75
|
||||
{ 65, 125, 65 }, // size 3, sigma 0.875
|
||||
{ 0, 7, 242, 7, 0 }, // size 5, sigma 0.375
|
||||
{ 4, 56, 136, 56, 4 } // size 5, sigma 0.75
|
||||
}; |
||||
|
||||
template <typename T, int fixedShift> |
||||
T eval(Mat src, vector<int64_t> kernelx, vector<int64_t> kernely) |
||||
{ |
||||
static const int64_t fixedRound = ((1LL << (fixedShift * 2)) >> 1); |
||||
int64_t val = 0; |
||||
for (size_t j = 0; j < kernely.size(); j++) |
||||
{ |
||||
int64_t lineval = 0; |
||||
for (size_t i = 0; i < kernelx.size(); i++) |
||||
lineval += src.at<T>((int)j, (int)i) * kernelx[i]; |
||||
val += lineval * kernely[j]; |
||||
} |
||||
return saturate_cast<T>((val + fixedRound) >> (fixedShift * 2)); |
||||
} |
||||
} |
||||
|
||||
TEST(GaussianBlur_Bitexact, Linear8U) |
||||
{ |
||||
struct testmode |
||||
{ |
||||
int type; |
||||
Size sz; |
||||
Size kernel; |
||||
double sigma_x; |
||||
double sigma_y; |
||||
vector<int64_t> kernel_x; |
||||
vector<int64_t> kernel_y; |
||||
} modes[] = { |
||||
{ CV_8UC1, Size( 1, 1), Size(3, 3), 0, 0, vector<int64_t>(v[1], v[1]+3), vector<int64_t>(v[1], v[1]+3) }, |
||||
{ CV_8UC1, Size( 2, 2), Size(3, 3), 0, 0, vector<int64_t>(v[1], v[1]+3), vector<int64_t>(v[1], v[1]+3) }, |
||||
{ CV_8UC1, Size( 3, 1), Size(3, 3), 0, 0, vector<int64_t>(v[1], v[1]+3), vector<int64_t>(v[1], v[1]+3) }, |
||||
{ CV_8UC1, Size( 1, 3), Size(3, 3), 0, 0, vector<int64_t>(v[1], v[1]+3), vector<int64_t>(v[1], v[1]+3) }, |
||||
{ CV_8UC1, Size( 3, 3), Size(3, 3), 0, 0, vector<int64_t>(v[1], v[1]+3), vector<int64_t>(v[1], v[1]+3) }, |
||||
{ CV_8UC1, Size( 3, 3), Size(5, 5), 0, 0, vector<int64_t>(v[2], v[2]+5), vector<int64_t>(v[2], v[2]+5) }, |
||||
{ CV_8UC1, Size( 3, 3), Size(7, 7), 0, 0, vector<int64_t>(v[3], v[3]+7), vector<int64_t>(v[3], v[3]+7) }, |
||||
{ CV_8UC1, Size( 5, 5), Size(3, 3), 0, 0, vector<int64_t>(v[1], v[1]+3), vector<int64_t>(v[1], v[1]+3) }, |
||||
{ CV_8UC1, Size( 5, 5), Size(5, 5), 0, 0, vector<int64_t>(v[2], v[2]+5), vector<int64_t>(v[2], v[2]+5) }, |
||||
{ CV_8UC1, Size( 3, 5), Size(5, 5), 0, 0, vector<int64_t>(v[2], v[2]+5), vector<int64_t>(v[2], v[2]+5) }, |
||||
{ CV_8UC1, Size( 5, 5), Size(5, 5), 0, 0, vector<int64_t>(v[2], v[2]+5), vector<int64_t>(v[2], v[2]+5) }, |
||||
{ CV_8UC1, Size( 5, 5), Size(7, 7), 0, 0, vector<int64_t>(v[3], v[3]+7), vector<int64_t>(v[3], v[3]+7) }, |
||||
{ CV_8UC1, Size( 7, 7), Size(7, 7), 0, 0, vector<int64_t>(v[3], v[3]+7), vector<int64_t>(v[3], v[3]+7) }, |
||||
{ CV_8UC1, Size( 256, 128), Size(3, 3), 0, 0, vector<int64_t>(v[1], v[1]+3), vector<int64_t>(v[1], v[1]+3) }, |
||||
{ CV_8UC2, Size( 256, 128), Size(3, 3), 0, 0, vector<int64_t>(v[1], v[1]+3), vector<int64_t>(v[1], v[1]+3) }, |
||||
{ CV_8UC3, Size( 256, 128), Size(3, 3), 0, 0, vector<int64_t>(v[1], v[1]+3), vector<int64_t>(v[1], v[1]+3) }, |
||||
{ CV_8UC4, Size( 256, 128), Size(3, 3), 0, 0, vector<int64_t>(v[1], v[1]+3), vector<int64_t>(v[1], v[1]+3) }, |
||||
{ CV_8UC1, Size( 256, 128), Size(5, 5), 0, 0, vector<int64_t>(v[2], v[2]+5), vector<int64_t>(v[2], v[2]+5) }, |
||||
{ CV_8UC1, Size( 256, 128), Size(7, 7), 0, 0, vector<int64_t>(v[3], v[3]+7), vector<int64_t>(v[3], v[3]+7) }, |
||||
{ CV_8UC1, Size( 256, 128), Size(9, 9), 0, 0, vector<int64_t>(v[4], v[4]+9), vector<int64_t>(v[4], v[4]+9) }, |
||||
{ CV_8UC1, Size( 256, 128), Size(3, 3), 1.75, 0.875, vector<int64_t>(v[5], v[5]+3), vector<int64_t>(v[6], v[6]+3) }, |
||||
{ CV_8UC2, Size( 256, 128), Size(3, 3), 1.75, 0.875, vector<int64_t>(v[5], v[5]+3), vector<int64_t>(v[6], v[6]+3) }, |
||||
{ CV_8UC3, Size( 256, 128), Size(3, 3), 1.75, 0.875, vector<int64_t>(v[5], v[5]+3), vector<int64_t>(v[6], v[6]+3) }, |
||||
{ CV_8UC4, Size( 256, 128), Size(3, 3), 1.75, 0.875, vector<int64_t>(v[5], v[5]+3), vector<int64_t>(v[6], v[6]+3) }, |
||||
{ CV_8UC1, Size( 256, 128), Size(5, 5), 0.375, 0.75, vector<int64_t>(v[7], v[7]+5), vector<int64_t>(v[8], v[8]+5) } |
||||
}; |
||||
|
||||
int bordermodes[] = { |
||||
BORDER_CONSTANT | BORDER_ISOLATED, |
||||
BORDER_REPLICATE | BORDER_ISOLATED, |
||||
BORDER_REFLECT | BORDER_ISOLATED, |
||||
BORDER_WRAP | BORDER_ISOLATED, |
||||
BORDER_REFLECT_101 | BORDER_ISOLATED |
||||
// BORDER_CONSTANT,
|
||||
// BORDER_REPLICATE,
|
||||
// BORDER_REFLECT,
|
||||
// BORDER_WRAP,
|
||||
// BORDER_REFLECT_101
|
||||
}; |
||||
|
||||
for (int modeind = 0, _modecnt = sizeof(modes) / sizeof(modes[0]); modeind < _modecnt; ++modeind) |
||||
{ |
||||
int type = modes[modeind].type, depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); |
||||
int dcols = modes[modeind].sz.width, drows = modes[modeind].sz.height; |
||||
Size kernel = modes[modeind].kernel; |
||||
|
||||
int rows = drows + 20, cols = dcols + 20; |
||||
Mat src(rows, cols, type), refdst(drows, dcols, type), dst; |
||||
for (int j = 0; j < rows; j++) |
||||
{ |
||||
uint8_t* line = src.ptr(j); |
||||
for (int i = 0; i < cols; i++) |
||||
for (int c = 0; c < cn; c++) |
||||
{ |
||||
RNG rnd(0x123456789abcdefULL); |
||||
double val = j < rows / 2 ? (i < cols / 2 ? ((sin((i + 1)*CV_PI / 256.)*sin((j + 1)*CV_PI / 256.)*sin((cn + 4)*CV_PI / 8.) + 1.)*128.) : |
||||
(((i / 128 + j / 128) % 2) * 250 + (j / 128) % 2)) : |
||||
(i < cols / 2 ? ((i / 128) * (85 - j / 256 * 40) * ((j / 128) % 2) + (7 - i / 128) * (85 - j / 256 * 40) * ((j / 128 + 1) % 2)) : |
||||
((uchar)rnd)); |
||||
if (depth == CV_8U) |
||||
line[i*cn + c] = (uint8_t)val; |
||||
else if (depth == CV_16U) |
||||
((uint16_t*)line)[i*cn + c] = (uint16_t)val; |
||||
else if (depth == CV_16S) |
||||
((int16_t*)line)[i*cn + c] = (int16_t)val; |
||||
else if (depth == CV_32S) |
||||
((int32_t*)line)[i*cn + c] = (int32_t)val; |
||||
else |
||||
CV_Assert(0); |
||||
} |
||||
} |
||||
Mat src_roi = src(Rect(10, 10, dcols, drows)); |
||||
|
||||
|
||||
for (int borderind = 0, _bordercnt = sizeof(bordermodes) / sizeof(bordermodes[0]); borderind < _bordercnt; ++borderind) |
||||
{ |
||||
Mat src_border; |
||||
copyMakeBorder(src_roi, src_border, kernel.height / 2, kernel.height / 2, kernel.width / 2, kernel.width / 2, bordermodes[borderind]); |
||||
for (int c = 0; c < src_border.channels(); c++) |
||||
{ |
||||
int fromTo[2] = { c, 0 }; |
||||
int toFrom[2] = { 0, c }; |
||||
Mat src_chan(src_border.size(), CV_MAKETYPE(src_border.depth(),1)); |
||||
Mat dst_chan(refdst.size(), CV_MAKETYPE(refdst.depth(), 1)); |
||||
mixChannels(src_border, src_chan, fromTo, 1); |
||||
for (int j = 0; j < drows; j++) |
||||
for (int i = 0; i < dcols; i++) |
||||
{ |
||||
if (depth == CV_8U) |
||||
dst_chan.at<uint8_t>(j, i) = eval<uint8_t, fixedShiftU8>(src_chan(Rect(i,j,kernel.width,kernel.height)), modes[modeind].kernel_x, modes[modeind].kernel_y); |
||||
else if (depth == CV_16U) |
||||
dst_chan.at<uint16_t>(j, i) = eval<uint16_t, fixedShiftU8>(src_chan(Rect(i, j, kernel.width, kernel.height)), modes[modeind].kernel_x, modes[modeind].kernel_y); |
||||
else if (depth == CV_16S) |
||||
dst_chan.at<int16_t>(j, i) = eval<int16_t, fixedShiftU8>(src_chan(Rect(i, j, kernel.width, kernel.height)), modes[modeind].kernel_x, modes[modeind].kernel_y); |
||||
else if (depth == CV_32S) |
||||
dst_chan.at<int32_t>(j, i) = eval<int32_t, fixedShiftU8>(src_chan(Rect(i, j, kernel.width, kernel.height)), modes[modeind].kernel_x, modes[modeind].kernel_y); |
||||
else |
||||
CV_Assert(0); |
||||
} |
||||
mixChannels(dst_chan, refdst, toFrom, 1); |
||||
} |
||||
|
||||
GaussianBlur(src_roi, dst, kernel, modes[modeind].sigma_x, modes[modeind].sigma_y, bordermodes[borderind]); |
||||
|
||||
EXPECT_GE(0, cvtest::norm(refdst, dst, cv::NORM_L1)) |
||||
<< "GaussianBlur " << cn << "-chan mat " << drows << "x" << dcols << " by kernel " << kernel << " sigma(" << modes[modeind].sigma_x << ";" << modes[modeind].sigma_y << ") failed with max diff " << cvtest::norm(refdst, dst, cv::NORM_INF); |
||||
} |
||||
} |
||||
} |
||||
|
||||
///* End of file. */
|
Loading…
Reference in new issue