NVIDIA OpenCL SDK - Image Processing

The GPU Computing SDK includes 100+ code samples, utilities, whitepapers, and additional documentation to help you get started developing, porting, and optimizing your applications for the CUDA architecture. You can get quick access to many of the SDK resources on this page, SDK documentation, or download the complete SDK.

Please note that you may need to install the latest NVIDIA drivers and CUDA Toolkit to compile and run the code samples.

Refer to the SDK release notes for more information.
For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon. OpenCL DCT 8x8
This sample demonstrates how Discrete Cosine Transform (DCT) for 8x8 blocks can be implemented in OpenCL. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU

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For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon. OpenCL DirectX Texture Compressor (DXTC)
High Quality DXT Compression using OpenCL. This example shows how to implement an existing computationally-intensive CPU compression algorithm in parallel on the GPU, and obtain an order of magnitude performance improvement. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU

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For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon. OpenCL 64-bin and 256-bin Histogram
This sample demonstrates efficient implementation of 64-bin and 256-bin histograms. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU

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For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon. OpenCL Post-Process OpenGL-Rendered Image
This sample shows how to post-process an image rendered in OpenGL using OpenCL. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU

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For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon. OpenCL Simple Texture 3D
Simple example that demonstrates use of 3D textures in OpenCL. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU

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For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon. OpenCL Box Filter
Linear 2-dimensional variable-width Box Filter of RGBA image. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Each of the R, G, B and A channels are treated independently with results computed concurrently for each. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU

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For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon. OpenCL Sobel Filter
2-dimensional 3x3 Sobel Magnitude Filter of RGBA image. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Gradient magnitude for each of the R, G & B channels is computed concurrently and independently, then combined into a single gradient intensity with linear weighting factors. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU

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For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon. OpenCL Median Filter
Multi-GPU enabled, 2-dimensional 3x3 Median Filter of RGBA image. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Each of the R, G & B channels are treated independently with results computed concurrently for each. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU

Download - Windows (x86)
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Download - Linux/Mac

For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon. OpenCL Separable Convolution
This sample implements convolution filter of a 2D image with arbitrary separable kernel. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU

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For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon. OpenCL Recursive Gaussian Filter
2-dimensional Gaussian Blur Filter of RGBA image using IRF method. Implemented in OpenCL for CUDA GPU's, with performance comparison against simple C++ on host CPU. Each of the R, G, B and A channels are treated independently with results computed concurrently for each. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU

Download - Windows (x86)
Download - Windows (x64)
Download - Linux/Mac

For a direct link to this sample, right-click and copy the URL (shortcut) of this link icon. OpenCL Volume rendering
This sample demonstrates basic volume rendering using 3D textures. 		  Minimum Required GPU
Minimum Required GPUor later
Minimum Required GPU

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Download - Linux/Mac