%0 Journal Article
%T Algorithm of Compressed Video Super-resolution Restoration Based on Bayesian Theory<br>基于Bayesian理论的压缩视频超分辨率重构算法
%A ZHOU Liang
%A ZHU Xiu-chang
%A ZHOU Liang
%A ZHU Xiu-chang
%A <br>周亮
%A 朱秀昌
%J 中国图象图形学报
%D 2006
%I 
%X At first an acquisition of the compressed video model is proposed,then the super-resolution problem is for mulated within the Bayesian framework and the MAP(maximum posterior probability) criterion,finally a universal solution of the problem is presented by integrating the CCD(cyclic coordinate decent) with SA(successive approximations).In order to resolve the problem that the original high-resolution's quality-reduce function is always unknown,a new estimation method is introduced based on the EM(expectation-maximization) algorithm.The results of the experiment demonstrate that the algorithm not only outperforms the traditional ones on the aspects of PSNR and restoration vision effect,but also has the characteristic of easy extension.
%K super-resolution
%K compressed video
%K image restoration
%K Bayesian estimation<br>超分辨率
%K 压缩视频
%K 图像重构
%K 贝叶斯估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=6E83DDCE965ACE41&yid=37904DC365DD7266&vid=708DD6B15D2464E8&iid=94C357A881DFC066&sid=245EE63BFE8F8B66&eid=B60458D1AE87BCD1&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10