Blind deconvolution based on genetic algorithms

被引：0
|
作者：
Chen, YW [1 ]
Nakao, Z
Arakaki, K
Tamura, S
机构：
[1] Univ Ryukyus, Fac Engn, Okinawa 90301, Japan
[2] Osaka Univ, Sch Med, Suita, Osaka 565, Japan
来源：
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 1997年 / E80A卷 / 12期
关键词：
blind deconvolution; genetic algorithm; image restoration; blurring function;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A genetic algorithm is presented for the blind-deconvolution problem of image restoration without any a priori information about object image or blurring function. The restoration problem is modeled as an optimization problem, whose cost function is to be minimized based on mechanics of natural selection and natural genetics. The applicability of GA for blind-deconvolution problem was demonstrated.
引用
收藏
页码：2603 / 2607
页数：5
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