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
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;
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
DOI :
10.1109/KES.1998.725964
