A Nonlocal Model for Image Restoration with Gamma Distributed Multiplicative Noise

  • Fahd Karami
  • Driss Meskine
  • Omar OubbihEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10884)


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.


Multiplicative gamma noise Nonlocal TV operator Nonlocal weberized TV Split bregman iteration 


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© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.MMSC, École Supérieure de Technologie d’EssaouiraUniversité Cadi AyyadEssaouiraMorocco

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