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基于BAG误匹配的JPEG窜改图像的被动检测算法
  • 摘要

    当JPEG图像被窜改时,通过检测人工的块状网格BAG(block artifact grid)误匹配的痕迹,可以判定待检测图像是否被窜改过,但这种算法有较高的虚警率,提出一种改进算法.首先利用BAG误匹配原理检测图像,再在疑似窜改区域检测竖直方向和水平方向上是否同时存在相邻BAG的边缘,从而将窜改区域与偶发噪声点区域分开,最后对全图进行形态学处理,进一步消除噪声.实验证明,该算法可以在有效检测窜改区域的情况下,降低算法的虚警率,在数字图像的被动检测领域有广泛的应用前景.

  • 作者

    张鑫  周尚波  ZHANG Xin  ZHOU Shang-bo 

  • 作者单位

    重庆大学计算机学院,重庆,400044

  • 刊期

    2012年12期 ISTIC PKU

  • 关键词

    JPEG图像  人工块状网格  窜改  虚警率  被动检测 

参考文献
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