Share Email Print

Proceedings Paper

Blind image deconvolution using an evolutionary algorithm and image fusion
Author(s): Salvador Gabarda; Gabriel Cristobal
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper describes a new blind deconvolution method implemented by means of an evolutionary algorithm (EA), designed as a multi-objective optimization problem (MOP) approach. The last generation of the EA can be used for selecting the best image under a given quality criterion or submitted to a fusion method for producing an improved result. The fusion procedure is preferred here and implemented through a new robust method, based on the local space-frequency information extracted from the Wigner distribution of the image. This fusion method has been recently developed by the authors providing excellent experimental results.

Paper Details

Date Published: 29 June 2005
PDF: 7 pages
Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); doi: 10.1117/12.608401
Show Author Affiliations
Salvador Gabarda, Instituto de Optica (CSIC) (Spain)
Gabriel Cristobal, Instituto de Optica (CSIC) (Spain)

Published in SPIE Proceedings Vol. 5839:
Bioengineered and Bioinspired Systems II
Ricardo A. Carmona; Gustavo Linan-Cembrano, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?