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Image Splicing Detection Using Multi-resolution Histogram

机译:多分辨率直方图的图像拼接检测

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摘要

In this paper, we investigate the prospect of using multi-resolution histogram of an image as features to detect image splicing which is the operations that copy and move a part of an image to another destination. Multi-resolution histogram is a kind of statistical feature which contains image's spatial information. Then Support Vector Machine (SVM) is used to train and test as classifier for estimating whether a given digital image is a splicing image or an authentic image. The experiment shows that the method is simplicity and efficiency.
机译:在本文中,我们研究了使用图像的多分辨率直方图作为特征来检测图像拼接的前景,即将图像的一部分复制并移动到另一个目标的操作。多分辨率直方图是一种包含图像空间信息的统计特征。然后,使用支持向量机(SVM)进行训练和测试,作为分类器,以估计给定的数字图像是拼接图像还是真实图像。实验表明,该方法简便有效。

著录项

  • 来源
  • 会议地点 Bangkok(TH);Bangkok(TH)
  • 作者单位

    Intelligent and Distributed Computing Lab, College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China;

    rnIntelligent and Distributed Computing Lab, College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China;

    rnIntelligent and Distributed Computing Lab, College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China;

    rnIntelligent and Distributed Computing Lab, College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机网络;
  • 关键词

    digital image forensic; blind forensic; image splicing detection; multi-resolution histogram;

    机译:数字图像取证;盲目的法医图像拼接检测;多分辨率直方图;

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