基于载体自修复系统的信息隐藏算法  

Information Hiding Algorithm based on Carrier Self-healing System

作　　者：娄棕棕 任帅[1] 杨涛[1] 索丽[1] 张弢[2] 慕德俊[3] 

机构地区：[1]长安大学信息工程学院,陕西西安710064 [2]长安大学电子与控制工程学院,陕西西安710064 [3]西北工业大学自动化学院(国家保密学院),陕西西安710072

出　　处：《通信技术》2017年第2期315-320,共6页Communications Technology

基　　金：国家自然科学基金(No.61402052;No.61303041);陕西省自然科学基础研究计划(No.2014JM2-6105);中国博士后科学基金(No.2015M572510);长安大学中央高校基本科研业务费专项资金(No.310832151092);国家级大学生创新创业训练计划(No.201510710044)~~

摘　　要：针对信息隐藏技术的抗剪切性和不可见性,提出了一种基于载体自修复系统的信息隐藏算法。该算法将载体图像进行GHM多小波变换,选取高能量子图作为隐藏区域,对其进行置乱处理消除相关性;根据位平面理论进行位平面分解,为保证算法的不可见性,选取低四位进行奇异值分解;根据奇异值的稳定性,将秘密信息嵌入奇异值,增强了算法的鲁棒性。在提取秘密信息时,对受损的含密图像进行自修复处理,减小与原含密图像的差异,保证了奇异值的稳定性。实验表明,该算法较其他算法有较强的鲁棒性和较好的不可见性,特别是抗剪切性。Aiming at the anti-cutting and invisibility, an information hiding algorithm based on carrier self- healing system is proposed. This algorithm first implements GHM multi-wavelet transform of the carrier image and then chooses high-energy sub-images as the embedding regions. Those high-energy sub- images are scrambled to eliminate the correlation and then decomposed in line with the bit plane rules. To ensure invisibility of the algorithm, the first four bit planes are chosen and processed with singular value decomposition. Finally, the confidential information is embedded in the singular values in accordance with their stability, thus enhancing the robustness of the algorithm. For the extraction, the damaged stego images are self-healed, thus to reduce the difference between those damaged stego images and the original images and ensure the stability of singular values. The experiments indicate that this algorithm is better than other traditional algorithms in robustness, invisibility, and in particular, the anti-cutting ability.

关 键 词：信息隐藏 GHM多小波变换 位平面理论 载体自修复系统 奇异值分解 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]