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应用科学学报 ›› 2012, Vol. 30 ›› Issue (1): 96-104.doi: 10.3969/j.issn.0255-8297.2012.01.015

• 信号与信息处理 • 上一篇    下一篇

基于直方图局部平滑度的LSB匹配隐写分析

汪然， 平西建， 郑二功   

  1. 解放军信息工程大学信息工程学院, 郑州450002
  • 收稿日期:2011-02-22 修回日期:2011-05-03 出版日期:2012-02-09 发布日期:2012-01-30
  • 通信作者: 汪然，博士生，研究方向：信息隐藏、隐写分析，E-mail: ivywr@sohu.com
  • 作者简介: 作者简介：汪然，博士生，研究方向：信息隐藏、隐写分析，E-mail: ivywr@sohu.com；平西建，教授，博导，研究方向：图像处理、模式识别、信息隐藏，E-mail: pingxijian@yahoo.com.cn
  • 基金资助:

    国家自然科学基金(No.60970142)资助

Steganalysis of LSB Matching Based on Local Smoothness of Histogram

WANG Ran, PING Xi-jian, ZHENG Er-gong   

  1. Institute of Information Engineering, PLA Information Engineering University, Zhengzhou 450002, China
  • Received:2011-02-22 Revised:2011-05-03 Online:2012-02-09 Published:2012-01-30

PDF

1574

被引次数

13

摘要：

针对LSB 匹配的嵌入机制，提出了一种基于直方图局部平滑度的隐写分析方法. 通过邻域差分像素值选取图像的平坦区域，提取包括灰度直方图平滑度、共生矩阵、差分直方图、差分共生矩阵的局部平滑度和峰值等在内的15 维特征，并引入二次嵌入过程消除图像内容差异带来的影响，结合Fisher 线性分类器实现隐写检测. 实验
结果表明，文中算法对于LSB匹配的检测具有较高的准确度，对于NRCS和UCID图像库均表现了良好的检测性能.

关键词: 信息隐藏, LSB匹配隐写分析, 平滑度, 图像纹理复杂度

Abstract:

 Spatial LSB matching steganography makes the histogram of the embedded images smoother.Based on this, a new steganalytic method that can exploit smoothness changes is proposed. Smooth areas of a given image are chosen based on the value of pixel differences. A total of 15 features include smoothness of image histogram and local co-occurrence matrix, local smoothness and extreme value of pixel difference histograms and co-occurrence differences matrixes, etc., are extracted. The twice embedded process is used to eliminate the influence of different image contents. The Fisher linear discriminator is applied for classification. Results of experiments on the NRCS and UCID databases show that the proposed method has good performance in detecting LSB matching steganography from grayscale images.

Key words:  information hiding, LSB matching steganalysis, smoothness, image texture complexity

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