基于2-D公共因子的精确提取的图像盲复原方法  

Blind Restoration of Blurred Image Based on Precise Extraction of 2-D GCD

作　　者：王睿[1] 方勇[1] 

机构地区：[1]上海大学通信与信息工程学院,上海200072

出　　处：《电子与信息学报》2009年第1期108-111,共4页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(60472103)资助课题

摘　　要：利用2-D公共因子(GCD)提取是实现图像盲复原最有效的方法之一。该文发展了一种2-D公共因子精确提取算法,该算法不需要构建原算法中高阶病态方程,其复杂度大大降低,且提高了对噪声的鲁棒性。仿真实验证实了该文提出的方法优于传统图像复原算法。In this paper, the issue of blind image restoration is considered by using 2-D Great Common Divisor （GCD） extraction approach. A precise extraction algorithm of 2-D GCD is proposed. Since no high order ill-posed equation is needed, calculation complexity and noise robustness for the Mgorithm are improved. Simulation result shows that the proposed algorithm is able to provide a better performance than traditional algorithm.

关 键 词：图像复原 盲反卷积 2-D公共因子 

分 类 号：TN911.73[电子电信—通信与信息系统]