抗统计分析的BPCS隐写  

A New BPCS Steganography Against Statistical Analysis

作　　者：张汗灵[1] 张晓燕[1] 李立君[2] 

机构地区：[1]湖南大学计算机与通信学院,湖南长沙410082 [2]中南林业科技大学机电工程学院,湖南长沙410004

出　　处：《湖南大学学报（自然科学版）》2007年第4期68-72,共5页Journal of Hunan University:Natural Sciences

基　　金：国家973计划资助项目(2006CB303000);湖南大学校基金重点项目(2004018)

摘　　要：基于复杂度直方图的隐写统计分析法能有效地察觉以BPCS隐写的秘密信息的存在,因此为提高隐写算法的安全性,本文提出了一种改进的BPCS隐写算法,即在不同位平面设置不同的复杂度阈值;并构造一个二次函数来衡量区域的明暗度,利用小块所处区域的明暗度和复杂度相结合来选择位面小块嵌入信息.实验结果表明,该算法能有效地抗基于复杂度直方图的统计分析,同时隐写图像质量比BPCS方法有较大的改善.Statistical analysis based on complexity histogram is a powerful steganalytic technique for detecting the presence of secret message embedded in the digital images using Bit-Plane Complexity Segmentation （BPCS）. Therefore to improve steganographic security, this paper proposed an improved BPCS algorithm that could effectively resist statistical analysis. We set different threshold values at different bit planes, constructed a quadratic function to evaluate the region brightness, and then combined the region brightness, where block locates, with block complexity to select bit-plane blocks for embedding. Experimental results show that adopting the improved algorithm can effectively resist statistical analysis based on the complexity histogram, and the stego-image has better quality than BPCS-Steganography.

关 键 词：隐写 隐写分析 位平面复杂度分割 直方图 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]