Digital Image Forgery

Image control has disintegrated our trust of computerized pictures, with progressively unobtrusive fraud techniques representing a regularly expanding test to the integrity of images and their legitimacy. With the progress of advanced image controlling software and modifying tools, an electronic picture can be successively controlled. Checking the decency of pictures and recognizing indications of modifying without requiring extra pre-inserted data of the image is the basic field of inspection. In this paper, a study of such research commitments has been directed by following a well-defined and systematic procedure. There are different paths for modifying an image, for instance, copy-move, splicing, and re-sampling. This paper focuses on two types of digital image forgery detection which are copy move and splicing of image