The Detection Method of Image Regional Forgery Based DWT and 2DIMPCA

Copy-Move is a common forgery in the research field of digital image forensics, this paper proposes a detection approach based on wavelet transform and two-dimensional image principal component analysis. After reducing the image dimension by Discrete Wavelet Transform(DWT)，2DIMPCA is applied to the fixed sized overlapping blocks of a low-frequency image in the wavelet sub-band to yield a reduced dimension representation from the horizontal direction and the vertical direction. The eigenvectors are then lexicographically sorted, the forgery part are localized by detecting for all neighborhood vectors by a certain threshold. The experiments demonstrate that the proposed approach can not only localize the copy forgery regions accurately, but also reduce the amount of computation and improve the detection efficiency.