通信学报2011，Vol.32Issue(10)：127-134,142,9.
基于张量投票的空域错误隐藏算法
Spatial error concealment method based on tensor voting
摘要
Abstract
As the existing spatial error concealment algorithms is lack of the recovery accuracy in complex texture areas, a spatial error concealment method based on tensor voting was proposed, which extracted structural information by using tensor voting. On this basis, an improved spatial error concealment algorithm which combined with the traditional algorithms was further proposed. Firstly the lost marc blocks were classified into three categories, and then the appropriate concealment method was chose to recover the lost macro blocks according to the type of lost macro blocks. Experimental results show that the proposed method improves the recovery accuracy effectively and avoids the edge disorder phenomenon, especially in the region with more complex texture, the subjective and objective quality of concealed image is improved greatly.关键词
错误隐藏/空域错误隐藏/丢失宏块分类/张量投票Key words
error concealment/ spatial error concealment/ lost macro blocks classification/ tensor voting分类
信息技术与安全科学引用本文复制引用
干楠,龚声蓉,王朝晖,刘纯平,刘全..基于张量投票的空域错误隐藏算法[J].通信学报,2011,32(10):127-134,142,9.基金项目
江苏省自然科学基金项目(BK2009116,B K2009593) （BK2009116,B K2009593）
江苏省科技支撑计划(工业)(BE2009048) （工业）
国家自然科学基金资助项目(61170124,60873116,61070223) （61170124,60873116,61070223）
