DocumentCode :
1562739
Title :
Multifocus image restoration and fusion method based on genetic search strategies
Author :
Zhang, Xinman ; Han, Jiuqiang ; Xu, Xuebin
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., China
Volume :
5
fYear :
2004
Firstpage :
4146
Abstract :
An adaptive genetic search algorithm was developed which applied to fused image blocks for clear restoration of two spatially registered multifocus images from same scene. In this method, the size of image block is defined as chromosome, after crossover and mutation, the global optimal solution would be got. Three kinds of quantitative evaluation criteria are used on the analysis and effect evaluation of different fused images, such as root mean square error, entropy and mutual information. Two cases are discussed and experiments demonstrate that in one case most fused images can achieve perfect reconstruction to the reference image when the focus objects are not overlapped blurred, and in another case this method performs better when the focus objects are overlapped blurred than that of the other two methods.
Keywords :
genetic algorithms; image restoration; search problems; sensor fusion; adaptive genetic search algorithm; chromosome; entropy; fused image blocks; image block size; image fusion; image reconstruction; multifocus image restoration; mutual information; quantitative evaluation; root mean square error; spatially registered multifocus images; Biological cells; Entropy; Focusing; Genetic mutations; Image analysis; Image restoration; Information analysis; Layout; Mutual information; Root mean square;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1342288
Filename :
1342288
Link To Document :
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