Restoring turbulence degraded images based on genetic algorithm

被引：0
|
作者：
Zuo, Boxin [1 ]
Tian, Jinwen [1 ]
Zu, Li
Cheng, Anhong
机构：
[1] Huazhong Univ Sci & Technol, Inst Recognit & Artificial Intelligence, State Educ Commiss Lab Image Proc & Intelligence, Wuhan 430074, Peoples R China
来源：
PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS | 2007年
关键词：
PSF; blur support; turbulence; image restoration; island model; genetic algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an algorithm is proposed for turbulence degraded image restoration. In this algorithm we proposed blur support identifying, and an equations selecting optimization that two methods for two consecutive frames of short exposure turbulence degraded image restoration. Finally, an island model is proposed for estimate the values of PSFs(point spread function) based on Genetic Algorithm. All of them together provide a flexible and credible way to compute PSFs values of turbulence from turbulence degraded images for image restoration. Experimental results show that the proposed method is highly effective with good performance.
引用
收藏
页码：652 / 656
页数：5
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