@inproceedings{e5e2d35f86054ebf80dac0130fcfba85,
title = "Restoration of degraded images using genetic programming",
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.",
keywords = "Genetic Programming, image restoration, non-linear filters",
author = "Hern{\'a}ndez-Beltr{\'a}n, {Jos{\'e} Enrique} and D{\'i}az-Ram{\'i}rez, {V{\'i}ctor H.} and Leonardo Trujillo and Pierrick Legrand",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; 10th Conference on Optics and Photonics for Information Processing ; Conference date: 29-08-2016 Through 30-08-2016",
year = "2016",
doi = "10.1117/12.2237092",
language = "Ingl{\'e}s",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Iftekharuddin, {Khan M.} and Andres Marquez and Matin, {Mohammad A.} and Awwal, {Abdul A. S.} and Vazquez, {Mireya Garcia}",
booktitle = "Optics and Photonics for Information Processing X",
address = "Estados Unidos",
}