%0 Journal Article
%T Image inpainting via weighted optimization<br>采用加权优化的图像修复
%A Liu Jianming
%A Lu Dongming
%A <br>刘建明
%A 鲁东明
%J 中国图象图形学报
%D 2011
%I 
%X Owning to the visual inconsistency of the greedy synthesis algorithm and neglecting of structure information of other optimization based inpainting, a new image inpainting algorithm using structure and texture optimization was proposed. The image inpainting was formulated as minimization of a weighted energy function, which was optimized using an expectation maximization(EM)-like algorithm. To ensure damaged regions with strong structure and high confidence been given priority to restoration, a greedy approach was used to set initial values and to calculate weight values for the EM algorithm. Compared with greedy synthesis and optimization based image inpainting approaches, the proposed algorithm considers the structure information and achieves better repairing results.
%K image restoration
%K image completion
%K ancient painting restoration
%K quality assessment<br>图像修补
%K 对象去除
%K 壁画修复
%K 质量评价
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=BA0106F4AB0B6BF685D20D73D7CFD157&yid=9377ED8094509821&vid=7801E6FC5AE9020C&iid=E158A972A605785F&sid=652E7E360EBE3082&eid=640CCB6E396307A8&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=12