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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Bibliographic Details

Published in:	Multiscale modeling & simulation Vol. 12; no. 2; pp. 458 - 487
Main Authors:	Gong, Zheng, Shen, Zuowei, Toh, Kim-Chuan
Format:	Journal Article
Language:	English
Published:	Philadelphia Society for Industrial and Applied Mathematics 01.01.2014
Subjects:	Algorithms Applied mathematics Computer simulation Contamination Fittings Gaussian Image restoration Inverse problems Noise Renovating Sparsity
ISSN:	1540-3459, 1540-3467
Online Access:	Get full text
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