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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Vydané v:	Signal processing Ročník 108; s. 90 - 101
Hlavní autori:	Feng, Xiang-chu, Luo, Liang, Jia, Xi-xi, Wang, Wei-wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2015
Predmet:	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
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