1 /*M///////////////////////////////////////////////////////////////////////////////////////
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11 // For Open Source Computer Vision Library
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43 #include "precomp.hpp"
46 using namespace cv::gpu;
48 #if !defined (HAVE_CUDA)
50 cv::gpu::bilateralFilter(const GpuMat&, GpuMat&, int, float, float, int, Stream&) { throw_nogpu(); }
55 namespace cv { namespace gpu { namespace device
60 void bilateral_filter_gpu(const PtrStepSzb& src, PtrStepSzb dst, int kernel_size, float sigma_spatial, float sigma_color, int borderMode, cudaStream_t stream);
63 void nlm_bruteforce_gpu(const PtrStepSzb& src, PtrStepSzb dst, int search_radius, int block_radius, float h, int borderMode, cudaStream_t stream);
67 void cv::gpu::bilateralFilter(const GpuMat& src, GpuMat& dst, int kernel_size, float sigma_color, float sigma_spatial, int borderMode, Stream& s)
69 using cv::gpu::device::imgproc::bilateral_filter_gpu;
71 typedef void (*func_t)(const PtrStepSzb& src, PtrStepSzb dst, int kernel_size, float sigma_spatial, float sigma_color, int borderMode, cudaStream_t s);
73 static const func_t funcs[6][4] =
75 {bilateral_filter_gpu<uchar> , 0 /*bilateral_filter_gpu<uchar2>*/ , bilateral_filter_gpu<uchar3> , bilateral_filter_gpu<uchar4> },
76 {0 /*bilateral_filter_gpu<schar>*/, 0 /*bilateral_filter_gpu<schar2>*/ , 0 /*bilateral_filter_gpu<schar3>*/, 0 /*bilateral_filter_gpu<schar4>*/},
77 {bilateral_filter_gpu<ushort> , 0 /*bilateral_filter_gpu<ushort2>*/, bilateral_filter_gpu<ushort3> , bilateral_filter_gpu<ushort4> },
78 {bilateral_filter_gpu<short> , 0 /*bilateral_filter_gpu<short2>*/ , bilateral_filter_gpu<short3> , bilateral_filter_gpu<short4> },
79 {0 /*bilateral_filter_gpu<int>*/ , 0 /*bilateral_filter_gpu<int2>*/ , 0 /*bilateral_filter_gpu<int3>*/ , 0 /*bilateral_filter_gpu<int4>*/ },
80 {bilateral_filter_gpu<float> , 0 /*bilateral_filter_gpu<float2>*/ , bilateral_filter_gpu<float3> , bilateral_filter_gpu<float4> }
83 sigma_color = (sigma_color <= 0 ) ? 1 : sigma_color;
84 sigma_spatial = (sigma_spatial <= 0 ) ? 1 : sigma_spatial;
87 int radius = (kernel_size <= 0) ? cvRound(sigma_spatial*1.5) : kernel_size/2;
88 kernel_size = std::max(radius, 1)*2 + 1;
90 CV_Assert(src.depth() <= CV_32F && src.channels() <= 4);
91 const func_t func = funcs[src.depth()][src.channels() - 1];
94 CV_Assert(borderMode == BORDER_REFLECT101 || borderMode == BORDER_REPLICATE || borderMode == BORDER_CONSTANT || borderMode == BORDER_REFLECT || borderMode == BORDER_WRAP);
97 CV_Assert(tryConvertToGpuBorderType(borderMode, gpuBorderType));
99 dst.create(src.size(), src.type());
100 func(src, dst, kernel_size, sigma_spatial, sigma_color, gpuBorderType, StreamAccessor::getStream(s));
103 void cv::gpu::nonLocalMeans(const GpuMat& src, GpuMat& dst, float h, int search_window_size, int block_size, int borderMode, Stream& s)
105 using cv::gpu::device::imgproc::nlm_bruteforce_gpu;
106 typedef void (*func_t)(const PtrStepSzb& src, PtrStepSzb dst, int search_radius, int block_radius, float h, int borderMode, cudaStream_t stream);
108 static const func_t funcs[4] = { nlm_bruteforce_gpu<uchar>, 0 /*nlm_bruteforce_gpu<uchar2>*/ , nlm_bruteforce_gpu<uchar3>, 0/*nlm_bruteforce_gpu<uchar4>,*/ };
110 CV_Assert(src.type() == CV_8U || src.type() == CV_8UC3);
112 const func_t func = funcs[src.channels() - 1];
113 CV_Assert(func != 0);
116 CV_Assert(b == BORDER_REFLECT101 || b == BORDER_REPLICATE || b == BORDER_CONSTANT || b == BORDER_REFLECT || b == BORDER_WRAP);
119 CV_Assert(tryConvertToGpuBorderType(borderMode, gpuBorderType));
121 int search_radius = search_window_size/2;
122 int block_radius = block_size/2;
124 dst.create(src.size(), src.type());
125 func(src, dst, search_radius, block_radius, h, gpuBorderType, StreamAccessor::getStream(s));