Automatic Detection of Forged Images

Digital Technology has matured to become predominant technology for creating, processing, transmitting and storing a information, a form of knowledge and intellectual assets. Digital image forgery is a growing problem in criminal cases and in public discourse. Photographic fakes can be used to promote a magazine story, defame a political opponent, or other objectives. Digital image forensic tools are helping to investigate and solve crimes. Realizing that it might be impossible to develop a method that is universal for all kinds of images and JPEG is the most frequently used image format, here an approach that can detect doctored JPEG images is proposed. In the proposed method the difference in the JPEG compression qualities within the forged image is used for detecting the forgery performed. Finally, automatic tampering detection and location of tampered region are fulfilled by image segmentation.