Digital image forgery detection

Abstract

A digital image is a data representing a two dimensional scene. Digital images have surpassed analog images in all fie lds of applications. In today's world of advanced computer technology, tampering and synthesis of digital images can be easily performed by a novice with a number of available sophisticated image processing software's like Adobe Photoshop, Corel Draw etc ... In the fields such as forensics, medical imaging, e-commerce, and industrial photography, authenticity and integrity of digital images is essential. In medical field physicians and researchers make diagnoses based on imaging. This motivates the need for detection tools that are transparent to tampering and can tell whether an image has been tampered just by inspecting the tampered image. As a foundation for this thesis work, a study on various existing image tampering techniques and existing state-of-art tamper detection techniques has been carried out. From the knowledge gathered, tampering of images is performed using standard image processing software. Copying parts of an image and pasting in the same image for covering unwanted information or creating a fake image by splicing two or more images are most used techniques in digital image manipulation. These are called copy-move and image-splicing techniques respectively.