Boosting Scheme for Detecting Region Duplication Forgery in Digital Images

  • Deng-Yuan Huang
  • Ta-Wei Lin
  • Wu-Chih Hu
  • Chih-Hung Chou
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 238)

Abstract

The detection of copy-move forgery image is important in the field of blind image forensics because it is of pure image processing technique without any support of embedded security information. The proposed method consists of a boosting scheme, feature extraction and similarity matching for the detection of duplicated regions. The boosting scheme comprises an estimation of dark channel, histogram equalization and grayscale layering, by which the number of image blocks on each subimage layer can be dramatically reduced so that the time efficiency of subsequent lexicographical sorting and similarity matching can be greatly improved. Experimental results show that the proposed boosting scheme can significantly enhance the computation efficiency and have a good detection rate. Moreover, the propose method is robust to any angles rotation attack.

Keywords

Copy-move forgery detection Similarity matching Feature extraction Dark channel 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Deng-Yuan Huang
    • 1
  • Ta-Wei Lin
    • 1
  • Wu-Chih Hu
    • 2
  • Chih-Hung Chou
    • 1
  1. 1.Department of Electrical EngineeringDayeh UniversityChanghuaTaiwan
  2. 2.Department of Computer Science and Information EngineeringNational Penghu University of Science and TechnologyPenghuTaiwan

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