一种改进的空域图像信息隐藏算法  

An improved spatial image information hiding algorithm

作　　者：李笑 王春玲[1] 陈亮[1] LI Xiao;WANG Chunling;CHEN Liang(School of Computer Science,Xi’an Polytechnic University,Xi’an 710048,China)

机构地区：[1]西安工程大学计算机科学学院,陕西西安710048

出　　处：《西安工程大学学报》2020年第1期119-123,130,共6页Journal of Xi’an Polytechnic University

基　　金：陕西省工业攻关计划项目(2014JK05-43)。

摘　　要：针对传统空域最低有效位(LSB)图像隐藏算法在嵌入秘密信息量较多时,存在鲁棒性较差,视觉差异比较明显的缺陷,提出一种最高有效位和人类视觉系统相结合的空域算法。利用最高有效位的序列优化算法,对载体图像的最高有效位进行匹配替换以减少秘密信息所占空间;利用人类视觉系统构建信息嵌入深度表,根据嵌入深度表的不同程度进行秘密信息的嵌入。采用Matlab开发环境,模拟了几种对隐秘图像常见的攻击方式。结果表明,该算法嵌入容量大,具有较好的鲁棒性和不可见性。Aiming at the defects that traditional spatial least significant bits(LSB)image hiding algoritm has poor robustness and obvious visual differences when the amount of embedded secret information is large, a spatial algorithm combining the most significant bits and human visual system is proposed.The most significant bit sequence optimization algorithm is used to match and replace the most significant bits of the carrier image to reduce the space occupied by the secret information. The human visual system is used to construct the information embedded depth table, and the secret information is embedded according to the different degrees of the embedded depth table. The Matlab development environment is used to simulate several common attacks on hidden images. Experiments show that the algorithm has good robustness, embedding capacity and invisibility.

关 键 词：空域信息隐藏 最高有效位 人类视觉系统 MATLAB 信息嵌入与提取 隐秘图像 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]