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基于分割的空域图像隐写分析

汪然 许漫坤 平西建 张涛

汪然, 许漫坤, 平西建, 张涛. 基于分割的空域图像隐写分析. 自动化学报, 2014, 40(12): 2936-2943. doi: 10.3724/SP.J.1004.2014.02936
引用本文: 汪然, 许漫坤, 平西建, 张涛. 基于分割的空域图像隐写分析. 自动化学报, 2014, 40(12): 2936-2943. doi: 10.3724/SP.J.1004.2014.02936
WANG Ran, XU Man-Kun, PING Xi-Jian, ZHANG Tao. Steganalysis of Spatial Images Based on Segmentation. ACTA AUTOMATICA SINICA, 2014, 40(12): 2936-2943. doi: 10.3724/SP.J.1004.2014.02936
Citation: WANG Ran, XU Man-Kun, PING Xi-Jian, ZHANG Tao. Steganalysis of Spatial Images Based on Segmentation. ACTA AUTOMATICA SINICA, 2014, 40(12): 2936-2943. doi: 10.3724/SP.J.1004.2014.02936

基于分割的空域图像隐写分析

doi: 10.3724/SP.J.1004.2014.02936
基金项目: 

国家自然科学基金(61272490)资助

详细信息
    作者简介:

    许漫坤 中国人民解放军信息工程大学信息系统工程学院讲师. 主要研究方向为图像处理和信息隐藏.E-mail: maggiexmk@163.com

    通讯作者:

    汪然 中国人民解放军信息工程大学信息系统工程学院博士研究生. 主要研究方向为信息隐藏和隐写分析. 本文通信作者.E-mail: wangran721@gmail.com

Steganalysis of Spatial Images Based on Segmentation

Funds: 

Supported by National Natural Science Foundation of China (61272490)

  • 摘要: 提出一种基于图像内容的空域隐写分析方法, 该方法对图像进行分割, 使分割得到的每一类子图像具有相同的统计特性, 并对每一类子图像提取更加敏感的隐写分析特征, 分别构造分类器进行训练和测试, 由此对分割所得到的每一幅子图像都可以得到一个检测结果. 对整幅图像的判决结果通过加权融合得到. 实验结果表明,该方法具有良好的性能, 尤其是针对自适应隐写方法, 该算法的检测准确率提高更加明显.
  • [1] Sharp T. An implementation of key-based digital signal steganography. In: Proceedings of 4th International Workshop on Information Hiding. Heidelberg: Springer-Verlag, 2001. 13-26
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出版历程
  • 收稿日期:  2014-01-04
  • 修回日期:  2014-06-25
  • 刊出日期:  2014-12-20

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