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Restoration of degraded images using genetic programming
Author(s): José Enrique Hernández-Beltrán; Víctor H. Díaz-Ramírez; Leonardo Trujillo; Pierrick Legrand
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Paper Abstract

In image restoration problems it is commonly assumed that image degradations are linear. In real-life this assumption is not always satisfied causing linear restoration methods fail. In this work, we present the design of an image restoration filtering based on genetic programming. The proposed filtering is given by a secuence of basic mathematical operators that allows to retrieve an undegraded image from an image degraded with noise. Computer simulations results obtained with the proposed algorithm in terms of objective metrics are analyzed and discussed by processing images degraded with noise. The obtained results are compared with those obtained with existing linear filters.

Paper Details

Date Published: 14 September 2016
PDF: 9 pages
Proc. SPIE 9970, Optics and Photonics for Information Processing X, 99700K (14 September 2016); doi: 10.1117/12.2237092
Show Author Affiliations
José Enrique Hernández-Beltrán, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Víctor H. Díaz-Ramírez, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Leonardo Trujillo, Instituto Tecnologico de Tijuana (Mexico)
Pierrick Legrand, INRIA Bordeaux Sud-Ouest (France)
Univ. de Bordeaux (France)


Published in SPIE Proceedings Vol. 9970:
Optics and Photonics for Information Processing X
Khan M. Iftekharuddin; Abdul A. S. Awwal; Mireya García Vázquez; Andrés Márquez; Mohammad A. Matin, Editor(s)

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