基于图像分类的动态阈值位平面复杂度分割密写算法  

Steganography algorithm of dynamic threshold bit-plane complexity segmentation based on image classification

作　　者：马林[1] 赖惠成[1] 

机构地区：[1]新疆大学信息科学与工程学院,乌鲁木齐830000

出　　处：《计算机应用》2011年第8期2183-2186,2195,共5页journal of Computer Applications

摘　　要：为提高位平面复杂度分割(BPCS)密写算法的安全性,提出了一种抗统计分析的BPCS密写算法。首先,将载体图像分块,计算图像块的信息熵和小波对比度;然后,利用模糊C-均值(FCM)对其进行分类,根据分类结果及随机数确定每个位面小块的复杂度阈值;最后,将载体和秘密数据位面小块相似程度小于0.5的秘密数据位面小块取反,再替换载体位面小块。实验结果表明,该方法能有效地抵抗复杂度直方图统计分析的检测,同时载密图像视觉不可感知性有了很大的提高。To improve the security of Bit-Plane Complexity Segmentation（BPCS） steganography algorithm,the authors proposed a BPCS steganography algorithm against statistical analysis.Firstly,an image was divided into blocks to calculate the information entropy and the wavelet contrast.Then the blocks were classified by Fuzzy C-Means（FCM） and each bit-plane block was set different complexity thresholds based on the classification result and a random number.Finally,if the similarity of secret data and carrier bit-plane block was less than 0.5,the secret data bit-plane block was negated to replace the carrier bit-plane block.The experimental results show that the proposed algorithm can effectively resist the detection of statistical analysis of the complexity histogram.Furthermore,the visual imperceptibility of stego image has been greatly improved.

关 键 词：密写 位平面复杂度分割 模糊C-均值 复杂度直方图 小波对比度 

分 类 号：TP391.413[自动化与计算机技术—计算机应用技术] TP309.7[自动化与计算机技术—计算机科学与技术]