| 基于张量投票的空域错误隐藏算法 |
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| 引用本文： | 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(10):127-134. |
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| 作者姓名： | 干 楠 龚声蓉 王朝晖 刘纯平 刘 全 |
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| 作者单位： | 苏州大学计算机科学与技术学院; |
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| 基金项目： | 江苏省自然科学基金项目(BK2009116,BK2009593); 江苏省科技支撑计划(工业)(BE2009048); 国家自然科学基金资助项目(61170124,60873116,61070223)~~ |
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| 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。
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| 关 键 词： | 错误隐藏 空域错误隐藏 丢失宏块分类 张量投票 |
Spatial error concealment method based on tensor voting |
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| GAN Nan,GONG Sheng-rong,WANG Zhao-hui,LIU Chun-ping,LIU Quan.Spatial error concealment method based on tensor voting[J].Journal on Communications,2011(10):127-134. |
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| Authors: | GAN Nan GONG Sheng-rong WANG Zhao-hui LIU Chun-ping LIU Quan |
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| Institution: | GAN Nan,GONG Sheng-rong,WANG Zhao-hui,LIU Chun-ping,LIU Quan(School of Computer Science & Technology,Soochow University,Suzhou 215006,China) |
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| 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 l... |
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| Keywords: | error concealment spatial error concealment lost macro blocks classification tensor voting |
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