The Detection Method of Image Regional Forgery Based DVVT 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.
image forensics wavelet transform 2DIMPCA image regional forgery
Pan Xiaozhong Wang Haoming
Department of Electronic Technology Engineering University of Armed Police Force,Xian,China
国际会议
西安
英文
692-696
2012-08-24（万方平台首次上网日期，不代表论文的发表时间）