A divide-and-conquer stochastic alterable direction image denoising method

A novel image denoising method based on stochastic technique is proposed in this paper. The procedure is divided into two phases: the appropriate random sampling strategy is adopted to search for similar patches, then the original image is estimated by these patches. Specifically, in order to reduce...

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Veröffentlicht in:	Signal processing Jg. 108; S. 90 - 101
Hauptverfasser:	Feng, Xiang-chu, Luo, Liang, Jia, Xi-xi, Wang, Wei-wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2015
Schlagworte:	Computer simulation Image denoising Markov-Chain Monte Carlo sampling Monte Carlo methods Noise reduction Non-local means Sampling Searching Stochasticity Two-directional method Wavelet transforms Non-local means Two-directional method Markov-Chain Monte Carlo sampling Image denoising
ISSN:	0165-1684, 1872-7557
Online-Zugang:	Volltext
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