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Improved Nonlocal Means Algorithm for Image Denoising  

Park, Sang-Wook (Institute of TMS information Technology, Yonsei University)
Kang, Moon-Gi (Institute of TMS information Technology, Yonsei University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.1, 2011 , pp. 46-53 More about this Journal
Abstract
Nonlocal means denoising algorithm is one of the most widely used denoising algorithm. Because it performs well, and the theoretic idea is intuitive and simple. However the conventional nonlocal means algorithm has still some problems such as noise remaining in the denoised flat region and blurring artifacts in the denoised edge and pattern region. Thus many improved algorithms based on nonlocal means have been proposed. In this paper, we proposed new improved nonlocal means denoising algorithm by weight update through weights sorting and newly defined threshold. Updated weights can make weights more refined and definite, and denoising is possible without that artifacts. Experimental results including comparisons with conventional algorithms for various noise levels and test images show the proposed algorithm has a good performance in both visual and quantitative criteria.
Keywords
Non-local menas; weight sorting; denoising; image enhancement; resolution;
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Times Cited By KSCI : 1  (Citation Analysis)
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