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2018 | OriginalPaper | Chapter

A Nonlocal Model for Image Restoration with Gamma Distributed Multiplicative Noise

Authors : Fahd Karami, Driss Meskine, Omar Oubbih

Published in: Image and Signal Processing

Publisher: Springer International Publishing

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Abstract

The question of eliminating the multiplicative noise has attracted much interest in many research studies. In this work, we are interested with the one that are follows the Gamma distribution. The rationale of this paper is to shed light on a brief comparative study of some local and nonlocal models, for denoising images contaminated with the noise of this type. The improved method of Split Bregman is used to implement those models. The totality of experiments indicates that the proposed nonlocal method gives better results than some other methods.

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previous chapter Fourth Order Nonlinear Diffusion Filters for Multiplicative Noise Removal

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Title: A Nonlocal Model for Image Restoration with Gamma Distributed Multiplicative Noise
Authors: Fahd Karami
Driss Meskine
Omar Oubbih
Publisher: Springer International Publishing
Book: Image and Signal Processing
Print ISBN: 978-3-319-94210-0

Electronic ISBN: 978-3-319-94211-7

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-94211-7_42

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