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一种基于先验知识约束的图像盲解卷积恢复算法
引用本文:王振国,张建军,耿则勋. 一种基于先验知识约束的图像盲解卷积恢复算法[J]. 测绘科学技术学报, 2006, 23(3): 195-197
作者姓名:王振国  张建军  耿则勋
作者单位:信息工程大学,测绘学院,河南,郑州,450052;许昌学院,河南,许昌,461000
摘    要:
在对现存的图像盲解卷积恢复算法进行阐述的基础上,介绍了一种根据概率统计理论推导的极大似然图像恢复算法.该算法通过用共轭梯度法对一个误差函数进行最小化来实现.并且在运算的过程中,加入了一些先验知识,如非负性和有限支持域等约束.

关 键 词:图像恢复  先验知识  误差函数  盲解卷积
文章编号:1673-6338(2006)03-0195-03
收稿时间:2006-01-04
修稿时间:2006-03-21

An Image Blind Deconvolution Recovery Based on Prior Knowledge Constraints
WANG Zhen-guo,ZHANG Jian-jun,GENG Ze-xun. An Image Blind Deconvolution Recovery Based on Prior Knowledge Constraints[J]. Journal of Zhengzhou Institute of Surveying and Mapping, 2006, 23(3): 195-197
Authors:WANG Zhen-guo  ZHANG Jian-jun  GENG Ze-xun
Affiliation:1. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China ; 2. Xuchang University, Xuchang 461000, China
Abstract:
On the basis of introducing the existent blind deconvolution image recovery algorithm, a maximum likelihood image recovery algorithm deduced from probability statistical is presented in this paper, This algorithm is implemented through minimum a error function using the conjugate gradient method. And during the calculate process, some prior knowledge such as non-negative and limit support is incorporated.
Keywords:image recovery   prior knowledge   error function   blind deconvolution
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