19 December 2013 Pixel-wise decay parameter adaption for nonlocal means image denoising
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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.
© 2013 SPIE and IS&T 0091-3286/2013/$25.00 © 2013 SPIE and IS&T
Yi Zhan, Mingyue Ding, and Xuming Zhang "Pixel-wise decay parameter adaption for nonlocal means image denoising," Journal of Electronic Imaging 22(4), 043034 (19 December 2013). https://doi.org/10.1117/1.JEI.22.4.043034
Published: 19 December 2013
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image denoising

Denoising

Magnetic resonance imaging

Error analysis

Image analysis

Signal to noise ratio

Surface plasmons

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