Blind Detection of Digital Forgeries Using Correlation of the feature pixel

Copy and paste-type form (Copy-Move) of tampering with the digital image is that copies the part of the region and pastes it into another area with an image. This way is in order to achieve the removal of the important contents of an image. It is a simple and effective technology of the image tampering. In response to this distorted way, this paper presents a blind detection method that detects the correlation of the image feature pixel. In order to remove the little noises and reduce the computational complexity, this paper also use the DTCWT accuracy in the image, then calculates the threshold of the image blocks, the last calculate the correlation of the image blocks. The experimental result indicates that tampering authentication method proposed in this paper can effectively combat the impact of noise on the certification; this approach has the good robust to the general noise such as Gaussian noise and low frequency filter.