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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