Image Restoration with Mixed or Unknown Noises

This paper proposes a simple model for image restoration with mixed or unknown noises. It can handle image restoration without assuming any prior knowledge of the noise distribution. It is particularly useful for solving real-life image restoration problems, since under various constraints, images a...

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Vydané v:	Multiscale modeling & simulation Ročník 12; číslo 2; s. 458 - 487
Hlavní autori:	Gong, Zheng, Shen, Zuowei, Toh, Kim-Chuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Philadelphia Society for Industrial and Applied Mathematics 01.01.2014
Predmet:	Algorithms Applied mathematics Computer simulation Contamination Fittings Gaussian Image restoration Inverse problems Noise Renovating Sparsity
ISSN:	1540-3459, 1540-3467
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