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Pixel-wise decay parameter adaption for nonlocal means image denoising

[+] Author Affiliations
Yi Zhan

Huazhong University of Science and Technology, School of Life Science and Technology, Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Department of Biomedical Engineering, Wuhan 430074, China

Mingyue Ding

Huazhong University of Science and Technology, School of Life Science and Technology, Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Department of Biomedical Engineering, Wuhan 430074, China

Xuming Zhang

Huazhong University of Science and Technology, School of Life Science and Technology, Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Department of Biomedical Engineering, Wuhan 430074, China

J. Electron. Imaging. 22(4), 043034 (Dec 19, 2013). doi:10.1117/1.JEI.22.4.043034
History: Received May 28, 2013; Revised August 13, 2013; Accepted October 22, 2013
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Abstract.  The globally fixed decay parameter is generally adopted in the traditional nonlocal means method for similarity computation, which has a negative influence on its restoration performance. To address this problem, we propose to adaptively tune the decay parameter for each image pixel using the golden section search method based on the pixel-wise minimum mean square error, which can be estimated using the prefiltered result and the estimated noise component. The quantitative and subjective comparisons of restoration performance among the proposed method and several state-of-the-art methods indicate that it can achieve a better performance in noise reduction, artifact avoidance, and detail preservation.

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Citation

Yi Zhan ; Mingyue Ding and Xuming Zhang
"Pixel-wise decay parameter adaption for nonlocal means image denoising", J. Electron. Imaging. 22(4), 043034 (Dec 19, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.4.043034


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