计算机工程与应用Issue(10)：167-169,3.DOI:10.3778/j.issn.1002-8331.1110-0484
采用差分进化算法的点扩展函数估计
Estimation of point spread function based on differential evolution algorithm
刘泽昕 1秦川 1徐伯庆1
作者信息
- 1. 上海理工大学 光电信息与计算机工程学院，上海 200093
- 折叠
摘要
Abstract
Among the non-blind restoration algorithms for image processing, the accuracy of the point spread function will directly affect the quality of the image restoration. There are two traditional methods to estimate the PSF, one is direct detection, the other is indirect estimation. While two methods need large amount of dates and have hard calculation. Aiming at these problems, this paper uses differential evolution algorithm to estimate the point spread function of image degradation from the view of global opti-mization. Experimental results illustrate that differential evolution algorithm has good performance, and laying a good founda-tion for designing the restoration filter next step.关键词
点扩展函数/差分进化算法/非盲复原算法Key words
point spread function/differential evolution algorithm/non-blind restoration algorithms分类
信息技术与安全科学引用本文复制引用
刘泽昕,秦川,徐伯庆..采用差分进化算法的点扩展函数估计[J].计算机工程与应用,2013,(10):167-169,3.
