抗统计分析的BPCS隐写

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.

A New BPCS Steganography Against Statistical Analysis

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.