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作 者:张英男[1,2] 张敏情[1,2] 钮可[1] 杨晓元[1,2] ZHANG Yingnan;ZHANG Minqing;NIU Ke;YANG Xiaoyuan(College of Cipher Engineering,Engineering University of PAP,Xi′an 710086,China;Network and Information Security Key Laboratory of PAP,Xi′an 710086,China)
机构地区:[1]武警工程大学密码工程学院,陕西西安710086 [2]网络与信息安全武警部队重点实验室,陕西西安710086
出 处:《郑州大学学报(理学版)》2018年第2期23-28,共6页Journal of Zhengzhou University:Natural Science Edition
基 金:国家自然科学基金项目(61379152;61403417;61402530)
摘 要:针对隐写载体为视频的特点,提出了一种新的基于帧内预测模式修改的H.264视频隐写算法.算法通过改进的局部二值模式方法选择所要嵌入区域,判断嵌入块的帧内预测模式,并将嵌入块分组,然后将与Logistic映射产生的混沌序列处理后的秘密信息经过预定的嵌入规则进行隐写,通过拉格朗日率失真优化算法改变帧内预测模式.实验结果表明,算法具有较好的视觉不可见性以及较高的嵌入效率,并且隐写后比特率增加量较小,同时具有较高的嵌入容量.A novel video steganographic algorithm based on modifying intra-prediction mode was proposed according to the characteristic of the cover media,video.Firstly,the embedding region was chosen by local binary pattern,then the intra-prediction modes of this blocks was judged.These blocks were divided into groups,with each group containing 3 blocks.The secret information bits were pretreated by the chaotic sequence by XOR.The information bits was embedded by rules,and the intra-prediction mode was modified by Lagrangian rate distortion optimization model.Experimental results indicated that,this embedded algorithm had good invisibility,very low bit rate increase,the low modification rate,and high embedding capacity.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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