DocumentCode
2497701
Title
An image restoration method based on genetic algorithm BP neural network
Author
Xiao, Qian ; Shi, Weiren ; Xian, Xiaodong ; Yan, Xinxiang
Author_Institution
Dept. of Autom., Chongqing Univ., Chongqing
fYear
2008
fDate
25-27 June 2008
Firstpage
7653
Lastpage
7656
Abstract
A new image restoration method was presented and investigated based on genetic algorithm BP neural network. The method combined the characteristics of global optimization of genetic algorithm with local optimization of BP neural network. The mapping relationship between degenerated image and clear image was established by training genetic algorithm BP neural network. Experimental results show that this method has a satisfying restoration effect both in visual impression and quantitative analysis.
Keywords
backpropagation; genetic algorithms; image restoration; neural nets; BP neural network; genetic algorithm; global optimization; image restoration; local optimization; Automation; Filters; Genetic algorithms; Image communication; Image restoration; Intelligent control; Neural networks; Optimization methods; Pixel; Training data; BP neural network; genetic algorithm; image restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4594117
Filename
4594117
Link To Document