GAN Nan, GONG Sheng-rong, WANG Zhao-hui, et al. Spatial error concealment method based on tensor voting[J]. 2011, 32(10): 127-134.DOI：
基于张量投票的空域错误隐藏算法
摘要
针对现有空域错误隐藏算法对复杂纹理恢复精度不高的问题
提出了一种基于张量投票的错误隐藏算法
利用张量投票提取的结构信息改善复杂纹理区域的恢复效果
并在此基础上结合传统算法提出了改进的空域错误隐藏算法
即首先对丢失宏块分类
然后根据丢失宏块的类型选取合适的隐藏算法。实验表明
该算法有效地提高了恢复精度
避免了边缘错乱现象
尤其在纹理较复杂的区域
能够使隐藏图像的主客观质量有较大提高。
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 algo-rithms 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 phe-nomenon
especially in the region with more complex texture
the subjective and objective quality of concealed image is improved greatly.
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