首页|The Research of Passive Image Forensics Algorithm Based on Copy-move Forgery
The Research of Passive Image Forensics Algorithm Based on Copy-move Forgery
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NETL
NSTL
万方数据
维普
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.
digital imagecopy-move forgerydiscrete wavelet transformpassive image forensics
NETL
NSTL
万方数据
维普
