Image manipulation detection using Edge-based segmentation and statistical property of wavelet coefficients

Forged digital images have been increased quickly for malicious purposes with the development of the image-editing software. As a consequence, the image forensics has been necessary to grant the authenticity of digital image. In this paper, we proposed a novel the image manipulation detection in the wavelet domain. We analyze retouching methods and the corresponding feature vectors are extracted. The experiment results show that the proposed method provides very effective performance.