Transactions of Tianjin University

, Volume 22, Issue 2, pp 151–157 | Cite as

Image copy-move forgery detection using SURF in opponent color space

  • Jiachang Gong (巩家昌)
  • Jichang Guo (郭继昌)


Most existing methods for image copy-move forgery detection(CMFD)operate on grayscale images. Although the keypoint-based methods have the advantages of strong robustness and low computational cost, they cannot identify the flat duplicated regions without reliable extracted features. In this paper, we propose a new CMFD method by using speeded-up robust feature(SURF)in the opponent color space. Our method starts by converting the inspected image from RGB to the opponent color space. The color gradient per pixel is calculated and taken as the work space for SURF to extract the keypoints. The matched keypoints are clustered and their geometric transformations are estimated. Finally, the false matches are removed. Experimental results show that the proposed technique can effectively expose the duplicated regions with various transformations, even when the duplication regions are flat.


copy-move forgery flat region color descriptor OwSURF 


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Copyright information

© Tianjin University and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Jiachang Gong (巩家昌)
    • 1
  • Jichang Guo (郭继昌)
    • 1
  1. 1.School of Electronic Information EngineeringTianjin UniversityTianjinChina

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