The Scientific World Journal
Volume 2014, Article ID 826405, 15 pages
http://dx.doi.org/10.1155/2014/826405
A “Salt and Pepper” Noise Reduction Scheme for Digital Images Based on Support Vector Machines Classification and Regression
Departamento de Teoría de la Señal y Comunicaciones, Universidad de Alcalá, Alcalá de Henares , 28805 Madrid, Spain
Received 2 May 2014; Revised 9 July 2014; Accepted 24 July 2014; Published 17 August 2014
Academic Editor: Gangyi Jiang
Copyright © 2014 Hilario Gómez-Moreno et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite this Article
Hilario Gómez-Moreno, Pedro Gil-Jiménez, Sergio Lafuente-Arroyo, Roberto López-Sastre, and Saturnino Maldonado-Bascón, “A “Salt and Pepper” Noise Reduction Scheme for Digital Images Based on Support Vector Machines Classification and Regression,” The Scientific World Journal, vol. 2014, Article ID 826405, 15 pages, 2014. https://doi.org/10.1155/2014/826405.