A fast image algorithm for image restoration based on a hybrid GA and SA

Author

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

Author_Institution

Dept. of Electr. & Electron. Eng., Ryukyus Univ., Okinawa, Japan

Volume

4

fYear

1999

fDate

1999

Firstpage

891

Abstract

A hybrid GA (genetic algorithm) and SA (simulated annealing) approach has been proposed for image restoration. The image restoration 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 GA for global searches and the advantage of SA for local ones. We propose a fast algorithm for image restoration based on the hybrid GA and SA to reduce the large computation cost. This method uses a simplified equation to calculate the cost function

Keywords

genetic algorithms; image restoration; minimisation; search problems; simulated annealing; computation cost; cost function; fast image algorithm; global searches; hybrid method; local searches; optimization problem; Biomedical optical imaging; Computational efficiency; Cost function; Genetic algorithms; High-resolution imaging; Image restoration; Optical filters; Optical imaging; Optical sensors; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.812527

Filename

812527