DocumentCode
2238857
Title
A hybrid GA/SA approach to blind deconvolution
Author
Chen, Yen-wei ; Enokura, Tatsuro ; Nakao, Zensho
Author_Institution
Fac. of Eng., Ryukyus Univ., Okinawa, Japan
Volume
3
fYear
1998
fDate
21-23 Apr 1998
Firstpage
144
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 GA 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 reasonable time even for large-scale problems, such as image processing
Keywords
deconvolution; genetic algorithms; image restoration; simulated annealing; blind deconvolution; global searches; high quality solutions; hybrid GA/SA approach; hybrid genetic algorithm/simulated annealing approach; image restoration; large-scale problems; Biomedical optical imaging; Cost function; Deconvolution; Genetic algorithms; High-resolution imaging; Image processing; Image restoration; Optical filters; Optical imaging; Simulated annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-4316-6
Type
conf
DOI
10.1109/KES.1998.725964
Filename
725964
Link To Document