Detection of digital forgeries using an image interpolation from digital images

Most of digital forgeries are created by Adobe Photoshopreg. Detecting digital forgery is one of most important emerging technology to solve digital forgery of digital images taken by a digital camera. This paper proposes a new method for detecting digital forgery using an image interpolation technique from digital images. When digital forgery is produced from digital images, it always includes the interpolated image between the images. Our approach is to compute the interpolated coefficient for the images using expectation-maximization (EM) algorithm. We demonstrate detecting the forgery images used to each filter for the tool of Adobe Photoshopreg and show a ratio of detecting the forgery images.