Enhanced Non-Local Means Denoising Algorithm Using Weighting Function with Switching Norm

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초록

This letter introduces a non-local means (NLM) denoising algorithm that uses a weight function based on a switching norm. The noise level and local activity are incorporated into the NLM denoising algorithm which enhances performance. This is done by selecting a norm among l(1), l(2) and l(4) norms to determine a weighting function. The experimental results show the capability of the proposed algorithm. In addition, the proposed algorithm is verified as effective for enhancing the performance of other NLM algorithms.

키워드

non-local means denoising; switching norm; noise level; local activity; weighting function
제목
Enhanced Non-Local Means Denoising Algorithm Using Weighting Function with Switching Norm
저자
Oh, JongGeun; Kim, DongYoung; Hong, Min-Cheol
DOI
10.1587/transfun.E99.A.2089
발행일
2016-11
유형
Article
저널명
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
권
E99A
호
11
페이지
2089 ~ 2094