面向噪声图像的自适应高容量隐写算法  

Adaptive high capacity steganography algorithm for noisy images

作　　者：孔水玲 赵琰 赵嘉琪 Kong Shuiling;Zhao Yan;Zhao Jiaqi(College of Electronics&Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China;Guangxi Normal University,Guangxi Key Laboratory of Multi-Source Information Mining&Security,Guilin Guangxi 541004,China)

机构地区：[1]上海电力大学电子与信息工程学院,上海200090 [2]广西师范大学,广西多源信息挖掘与安全重点实验室,广西桂林541004

出　　处：《计算机应用研究》2022年第2期557-562,576,共7页Application Research of Computers

基　　金：国家自然科学基金资助项目(61802250);上海市科委地方院校能力建设项目(20020500700);广西多源信息挖掘与安全重点实验室开放基金资助项目(MIMS18-04)。

摘　　要：面向雷达、遥感图像等含噪图像,提出了一种利用噪声自适应嵌入的位平面加密算法。首先对不同的噪声图像利用遗传算法自适应找到最佳嵌入阈值,在噪声值较高处使用一种无须密钥的加密算法将两位秘密信息分别交叉嵌入到第一、三位平面中。然后利用BBE(binary-block embedding)算法将标记位数据压缩到第二位平面。最后在第二位平面冗余处用同样的加密算法将剩余秘密信息分别嵌入到第二、四位平面中完成信息隐藏。实验分析表明在满足高容量嵌入的条件下,与其他自适应位平面隐写算法相比有良好的隐蔽性以及较强的鲁棒性,同时能抵抗目前较好的隐写分析算法,保证了数据传送的安全性。This paper proposed a bit-plane encryption algorithm using noise adaptive embedding for noisy images such as radar and remote sensing images.Firstly,the algorithm adaptively found the best embedding threshold in different noisy images using genetic algorithm,and used an encryption algorithm that did not require a secret key at higher noise values to cross-embed two pieces of secret information into the first and in the three-dimensional plane.Then it used the BBE algorithm to compress the flag bit data to the second bit plane.Finally,it used the same encryption algorithm to embed the remaining secret information into the second and fourth bit planes to complete information hiding at the second bit plane redundancy.Experimental analysis shows that under the condition of satisfying high-capacity embedding,compared with other adaptive bit-plane steganography algorithms,it has better concealment and stronger robustness,and at the same time,it can resist the current better steganalysis algorithms to ensure security of data transmission.

关 键 词：基因遗传算法 二进制块嵌入 高嵌入率 加密算法 位平面 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]