(Qingdao university,Qingdao,266071,China.Xu Chang-ying)
Abstract:Copy-move is a common forgery in the research field of digital image forensics.The existing algorithms on copy-move detecting are quite computationally expensive and low operating efficiency for lexicographically order.In order to overcome the drawback,an autocorrelation detection methods based on the discrete wavelet transform is proposed in this paper.In this method,low-frequency sub-band wavelet decomposition which is best approximation of the image is extracted as a feature vector and calculate their Pearson correlation coefficient to detect the similar blocks.The experiments demonstrate that the proposed approach can greatly reduce the dimension of feature vector and accordingly increased detection efficiency of the matching block. Keywords: digital image; copy-move forgery; discrete wavelet transform; passive image forensics
CLC Number:TP391 Document Code: A Article ID:
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Author：Xu Chang-ying, gender female,postgraduate student,from Qingdao university, the direction of research is passive image forensics.
Wang Ying,gender female,doctor,master Tutor.
