Copy-Move Forgery Detection in Digital Image

Digital images are easy to be tempered and edited due to availability of image editing software The most common ways to temper a digital image is copy-paste forgery which is used to conceal objects or produce a non-existing scene To detect the copy-paste forgery, we divide the image into blocks is the basic feature for detection, and transfer every block to a feature vector with lower dimension for comparison The number of blocks and dimension of characteristics are the maim factor a fleeting the computation complexity In this paper. we modify the previous methods by using less cumulative offsets For block matching The experimental results show that our method can successfully detect the forgery part even when the forged image is saved in a lossy format such as JPEG The performance of the proposed method is demonstrated on several forged images