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Yujin Zhang, Chenglin Zhao, Yiming Pi, Shenghong Li and Shilin Wang Image-splicing forgery detection based on local binary patterns of DCT coefficients Security and Communication Networks 8

Version of Record online: 26 FEB 2013 | DOI: 10.1002/sec.721

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In this paper, an effective framework for revealing image-splicing forgery is proposed. The local binary pattern operator is used to model magnitude components of two-dimensional arrays obtained by applying multisize block discrete cosine transform to test images. Kernel principal component analysis is utilized to reduce the dimensionality of the constructed features for making the computational cost more manageable. Experiment results show that the proposed method can perform better than some state-of-the-art methods

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