计算机科学 ›› 2014, Vol. 41 ›› Issue (6): 94-98.doi: 10.11896/j.issn.1002-137X.2014.06.019

• 信息安全 • 上一篇    下一篇

一种基于多域特征的JPEG图像隐写分析算法

汪磊,曾宪庭,苏金阳   

  1. 中国计量学院信息工程学院 杭州310018;中国计量学院信息工程学院 杭州310018;中国计量学院信息工程学院 杭州310018
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受浙江省自然科学基金项目(Y1110450,LQ12F03016)资助

Steganalysis Based on Multi-domain Features for JPEG Images

WANG Lei,ZENG Xian-ting and SU Jin-yang   

  • Online:2018-11-14 Published:2018-11-14

摘要: 为实现对以JPEG图像为载体的隐秘图像的高效检测,提出了一种基于多域特征的通用隐写分析算法。该算法结合两种不同校准方法在图像不同域中对原始载体图像的估计能力,分别从图像DCT域、空域和DWT域中提取特征向量,提高了特征向量对隐秘信息的敏感性,达到了隐秘图像的高效检测。实验结果表明,与现有几种典型的通用隐写分析算法相比,所提算法具有很好的检测效果且稳定性好、运算速度快。

关键词: 隐写分析,多域特征,图像校准,特征优化,SVM 中图法分类号TP391文献标识码A

Abstract: A universal steganalysis method for JPEG images was proposed.The algorithm can achieve high detection correct ratio by combining various statistical features,including DCT,spatial domain,and DWT features.The combined statistical features can reveal the image difference better between an original cover image and its stego-image.Experiments were conducted to show the effectiveness of the proposed method.

Key words: Steganalysis,Multi-domain features,Image calibration,Feature optimization,SVM

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