NDLI: An adaptive non-local means algorithm for image denoising via pixel region growing and merging

Content Provider	IEEE Xplore Digital Library
Author	Kelong Zheng Wenqiang Feng Hanlin Chen
Copyright Year	2010
Description	Author affiliation: Department of Mathematics, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China (Wenqiang Feng) \|\| School of Science, Southwest University of Science and Technology, Mianyang, Sichuan 621010, P. R. China (Kelong Zheng; Hanlin Chen)
Abstract	In this paper, we propose a new adaptive non-local means algorithm for image denoising based on the region via pixel region growing and merging. For a seed pixel, by employing the pixel region growing and merging technique to the search regions, it lets the search regions cluster under the similar gray and structure adaptively and merge the related neighborhoods. Experiment results demonstrate that this method is efficient and robust not only for Gaussian white noise, but also for salts and peppers noise. Compared with ONL means and NLR means, the proposed method can not only accelerate the computation, but also have a high quality.
Starting Page	621
Ending Page	625
File Size	1460563
Page Count	5
File Format	PDF
ISBN	9781424465132
e-ISBN	9781424465163
DOI	10.1109/CISP.2010.5647244
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	PSNR adaptive nonlocal means Gaussian noise Merging Noise reduction salts and peppers noise non-local means Noise measurement Pixel Image denoising
Content Type	Text
Resource Type	Article

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