Blind deconvolution based on a hybrid GA/SA approach

Author

Chen, Yen-wei ; Enokura, Tatsuro ; Nakao, Zensho

Author_Institution

Fac. of Eng., Ryukyus Univ., Okinawa, Japan

Volume

3

fYear

1998

fDate

11-14 Oct 1998

Firstpage

2190

Abstract

A hybrid GA/SA (genetic algorithm/simulated annealing) approach is proposed for the blind deconvolution problem of image restoration. The blind deconvolution problem is modeled as an optimization problem, whose cost function is to be minimized by the proposed hybrid approach. The approach combines the advantage of GAs for global searches and the advantage of SA for local ones. The results indicate that it is possible to arrive at high-quality solutions in a reasonable time, even for large-scale problems such as image processing

Keywords

deconvolution; genetic algorithms; image restoration; minimisation; search problems; simulated annealing; blind deconvolution; computation time; cost function minimization; global searches; high-quality solutions; hybrid genetic algorithm/simulated annealing approach; image processing; image restoration; large-scale problems; local searches; optimization problem; Biomedical optical imaging; Cost function; Deconvolution; Genetic algorithms; High-resolution imaging; Image processing; Image restoration; Large-scale systems; Optical imaging; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1062-922X

Print_ISBN

0-7803-4778-1

Type

conf

DOI

10.1109/ICSMC.1998.724980

Filename

724980