/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * Neither the name of NVIDIA CORPORATION nor the names of its * contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ #include "convolutionTexture_common.h" //////////////////////////////////////////////////////////////////////////////// // Reference row convolution filter //////////////////////////////////////////////////////////////////////////////// extern "C" void convolutionRowsCPU(float *h_Dst, float *h_Src, float *h_Kernel, int imageW, int imageH, int kernelR) { for (int y = 0; y < imageH; y++) for (int x = 0; x < imageW; x++) { float sum = 0; for (int k = -kernelR; k <= kernelR; k++) { int d = x + k; if (d < 0) d = 0; if (d >= imageW) d = imageW - 1; sum += h_Src[y * imageW + d] * h_Kernel[kernelR - k]; } h_Dst[y * imageW + x] = sum; } } //////////////////////////////////////////////////////////////////////////////// // Reference column convolution filter //////////////////////////////////////////////////////////////////////////////// extern "C" void convolutionColumnsCPU(float *h_Dst, float *h_Src, float *h_Kernel, int imageW, int imageH, int kernelR) { for (int y = 0; y < imageH; y++) for (int x = 0; x < imageW; x++) { float sum = 0; for (int k = -kernelR; k <= kernelR; k++) { int d = y + k; if (d < 0) d = 0; if (d >= imageH) d = imageH - 1; sum += h_Src[d * imageW + x] * h_Kernel[kernelR - k]; } h_Dst[y * imageW + x] = sum; } }