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Non-local means denoising algorithm accelerated by GPU

K. Huang, D. Zhang, K. Wang
Northwestern Polytechnical University, China
In Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 7497 (October 2009)

@conference{huang2009non,

   title={Non-local means denoising algorithm accelerated by GPU},

   author={Huang, K. and Zhang, D. and Wang, K.},

   booktitle={Proceedings of SPIE},

   volume={7497},

   pages={749711},

   year={2009}

}

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On the basis of studying Non-Local Means (NLM) denoising algorithm and its pixel-wise processing algorithm in Graphics Processing Unit (GPU), a whole image accumulation algorithm of NLM denoising algorithm based on GPU is proposed. The number of dynamic instructions of fragment shader is effectively reduced by redesigning the data structure and processing flow, that make the algorithm suitable to the graphic cards supported Shader Model 3.0 and/or Shader Model 4.0, and so enhance the versatility of the algorithm. Then the continuous and parallel processing method for 4 gray images based on Multiple Render Target (MRT) and double Frame Buffer Object (FBO) is proposed, and the whole processing flow with GPU is presented. The experimental results of both simulative and practical gray images show that the proposed method can achieve a speedup of 45 times while remaining the same accuracy.
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