Vision Based Image Forgery Detection

Abstract: Nowadays, digital images can be easily modified by using high-performance computers, sophisticated photo-editing, computer graphics software, etc. These modifications will affect the authenticity of images, from law, politics, the media, and business. Detecting forgery in digital images is one of the major research activities in the current time. In general, altering the digital image may disturb some underlying two properities 1) statiscal properities that arise due to sampling,blocking artifacts by measuring such irregularities if we detect the forgery of digital that then that is called as statiscal forensic techniques and 2) vision-based regularities that arise due to world, lens and sensor by measuring this iregulariries if we detect the forgery then this is called as Vision Based Forensic Techniques etc. Under this assumption, this paper presents new vision based image forensic tool Illumination color based image forensic.