cpp/2_Concepts_and_Techniques/imageDenoising/README.md
This sample demonstrates two adaptive image denoising techniques: KNN and NLM, based on computation of both geometric and color distance between texels. While both techniques are implemented in the DirectX SDK using shaders, massively speeded up variation of the latter technique, taking advantage of shared memory, is implemented in addition to DirectX counterparts.
Image Processing
SM 5.0 SM 5.2 SM 5.3 SM 6.0 SM 6.1 SM 7.0 SM 7.2 SM 7.5 SM 8.0 SM 8.6 SM 8.7 SM 8.9 SM 9.0
Linux, Windows
x86_64, armv7l
cudaGraphicsUnmapResources, cudaMemcpy, cudaMallocArray, cudaFreeArray, cudaFree, cudaGraphicsResourceGetMappedPointer, cudaGraphicsMapResources, cudaDeviceSynchronize, cudaCreateTextureObject, cudaGLRegisterBufferObject, cudaGraphicsUnregisterResource, cudaMalloc, cudaGraphicsGLRegisterBuffer
Download and install the CUDA Toolkit for your corresponding platform. Make sure the dependencies mentioned in Dependencies section above are installed.