Blind Fake Image detection

With the great convenience of computer graphics and digital imaging, it becomes much easier to alter the content of images than before without any visually traces to catch these manipulations. Many fake images are produced whose content is feigned. Thus, the images cannot be judged whether they are real or not visually. In order to detect fake images, this paper proposes a blind detection uses singular value decomposition (SVD) as a classifier to make a binary decision on whether an image is fake or real. This work is an improvements process to an existence method to detect fake image using SVD. The experimental results prove the effectiveness of this algorithm to detect any small changes in image even with one dot of real image.