基于非线性残差的JPEG图像隐写分析  

Steganalysis of JPEG images using non-linear residuals

作　　者：夏超 刘亚奇 关晴骁 金鑫[1] 张艳硕[1] 许盛伟[1] XIA Chao;LIU Yaqi;GUAN Qingxiao;JIN Xin;ZHANG Yanshuo;XU Shengwei(Beijing Electronic Science and Technology Institute,Beijing 100070,China;Computer Engineering College,Jimei University,Xiamen 361021,China)

机构地区：[1]北京电子科技学院,北京100070 [2]集美大学计算机工程学院,福建厦门361021

出　　处：《通信学报》2023年第1期142-152,共11页Journal on Communications

基　　金：国家自然科学基金资助项目(No.62002003,No.U1936114,No.62102010);北京高校“高精尖”学科建设基金资助项目(No.20210085Z0401,No.20210037Z0401)。

摘　　要：当前JPEG图像隐写分析方法往往只使用线性滤波器生成残差图像,导致残差图像类型过于单一,影响隐写检测性能。鉴于此,提出了基于非线性残差的JPEG图像隐写分析方法。首先,从现有JPEG图像隐写分析方法已有的线性残差图像中选择合适的图像组,对其采用逐像素取小和取大运算,在没有明显增加计算复杂度的情况下,得到非线性残差图像。其次,根据JPEG相位,将非线性残差图像划分为子图像,提取子图像直方图特征。再次,充分考虑非线性运算的影响,设计合适的特征对称合并方法。最后,将合并后的直方图特征拼接形成最终的隐写分析特征。实验结果表明,线性和非线性残差图像相结合能够有效地增加残差图像和隐写分析特征的多样性,从而提升JPEG图像隐写检测性能。Most current JPEG steganalytic methods can only extract features from a series of linear residuals. Non-linear filters are not considered in these JPEG steganalytic methods, resulting in single types of residuals. Hence, a JPEG steganalytic method using non-linear residuals was proposed. Firstly, non-linear residuals were generated without a high computational cost by using element-wise minimum and maximum operations across a couple of linear residuals which had been obtained in the current JPEG steganalytic method. Secondly, according to the JPEG phase, the non-linear residual was divided into sub-residuals in which the histogram features were extracted. Thirdly, considering the minimum and maximum operators, the symmetrization method was accordingly designed. Finally, all the symmetrized histogram features were concatenated to form the final feature set. Experimental results indicate that the performance for JPEG steganalysis can be improved effectively by using both the linear and the non-linear residuals.

关 键 词：信息隐藏 隐写分析 隐写 JPEG图像 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]