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作 者:伍迁 吴建斌[1] 刘子璇 宋梦丽 WU Qian;WU Jianbin;LIU Zixuan;SONG Mengli(School of Physical Science and Technology,Central China Normal University Wuhan 430079,Hubei,China)
机构地区:[1]华中师范大学物理科学与技术学院,湖北武汉430079
出 处:《应用科学学报》2021年第2期293-301,共9页Journal of Applied Sciences
基 金:国家自然科学基金(No.U1736121);中央高校自主科研项目GF后期资助。
摘 要:为了进一步提高自适应隐写算法的安全性,本文引进图像分块的思想,改写了原J-UNWARD算法的失真函数,变加性失真函数为非加性失真函数。载体图像被分为4个子块,分别计算每个子块的纹理复杂度以嵌入总量不变为约束条件,优先嵌入复杂度较大的块,每嵌入一块完成后重新计算失真函数,根据复杂度大小动态调整每个子块的嵌入量。利用STC(syndrome trelliscodes)编码将秘密信息自适应地嵌入到纹理区域,最后采用DCTR和ccJRM两种隐写分析技术进行检测分析。实验结果表明:在相同容量下,改进算法能显著提高算法的抗隐写分析能力。In order to further improve the security of adaptive steganography algorithms,this article introduces the idea of image blocking,rewrites the distortion function of the original J-UNIWARD algorithm,and changes additive distortion functions to non-additive distortion functions.The implementation process of the algorithm is as follows:The carrier image to be processed is divided into four sub-blocks,and the texture complexity of each sub-block is calculated separately,under the constraint of keeping total embedding amount unchanged.The more complex blocks are preferentially chosen to be embedded.By re-calculating the distortion function after each block-embedding,the embedding amount is dynamically adjusted according to the complexity.Then the secret information is adap-tively embed into the texture area by STC(syndrome trelliscodes)encoding.Finally,detection performance is analyzed by using DCTR and ccJRM steganalysis techniques.Experimental results show that under the same capacity,the proposed algorithm can sig-nificantly improve the anti-stealth analysis ability of the algorithm.
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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