计算机科学 ›› 2015, Vol. 42 ›› Issue (12): 240-242.

• 信息安全 • 上一篇    下一篇

基于马尔可夫链模型的图像拼接篡改盲取证算法

卜江,郑彬,陈海洋   

  1. 国防科学技术大学人文与社会科学学院 长沙410074,国防科学技术大学人文与社会科学学院 长沙410074,国防科学技术大学人文与社会科学学院 长沙410074
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受总装装备预先研究项目,国防科技大学校级项目资助

Forensic Method Based on Markov Chain Model for Splicing Images

BU Jiang, ZHENG Bin and CHEN Hai-yang   

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

摘要: 利用马尔可夫链对图像DCT变换系数的相关性进行建模,提取模型的状态转移概率矩阵作为特征向量,然后采用支持向量机分类器对自然图像和篡改图像进行分类。实验结果表明,该算法的平均准确率达到了86%,性能优于Ng提出的基于双相干特征的拼接图像检测算法。

关键词: 盲取证,离散余弦变换,马尔可夫链,支持向量机

Abstract: Markov chain is used to model the correlation of discrete cosine transform coefficients,and the state transition probability matrix is extracted as feature vector.Then the support vector machine classifier is used to discriminate natural images and doctored images.Experimental results show that the average accuracy rate can achieve 86%.The detection performance of our method is better than that of the method using bi-coherence features proposed by Ng.

Key words: Blind forensics,Discrete cosine transform,Markov chain,Support vector machine

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