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A fast NL-Means method in image denoising based on the similarity of spatially sampled pixels

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5 Author(s)
Chao Pang ; Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong ; Oscar C. Au ; Jingjing Dai ; Wen Yang
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As one of the best image denoising methods, the Non-Local Means(NL-Means)algorithm[5] proposed by Buades et al. generates state-of-the-art performance. However, due to the high computational complexity, it is difficult to be directly used in practical applications. In this paper, a novel fast algorithm based on the similarity of spatially sampled pixels is introduced. Compared with other fast approaches, the result has shown that our method always uses the shortest time. Meanwhile, it keeps a similar or even better visual results. A maximum of 0.9dB improvement can be attained in comparison with the original method when the noise variance is small.

Published in:

Multimedia Signal Processing, 2009. MMSP '09. IEEE International Workshop on

Date of Conference:

5-7 Oct. 2009