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。
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.
出处
《测绘科学技术学报》
北大核心
2006年第3期195-197,共3页
Journal of Geomatics Science and Technology
基金
国家863项目资助(863763)
关键词
图像恢复
先验知识
误差函数
盲解卷积
image recovery
prior knowledge
error function
blind deconvolution
