A Survey on the Digital Image Copy Move Forgery Detection Techniques

Now-a-days all the visual forms are become digital in order to get the useful information. Due to improvement in computing and network technologies, in past few years we have seen a considerable rise in the accessibility and transmission of digital images using imaging technologies like digital cameras, scanners. This technology is also used for manipulating digital images and creating different forgery in image which is very difficult to identify. In tampering of digital images involved copying one part of image into other part of image, any types of image manipulation operation is consider as a forgery in image. Simple way to image forgery is manipulated image without leaving any perceptible traces; as a result, the authenticity of images can’t be taken for granted. There are number of operation in which we can change the image contain, like scaling, rotating, cropping. Preserving image authenticity is very complex because easily availability and free downloading image editing software. So detecting image forgery is difficult and challenging task. In this paper, we are representing a review on the existing copy move forgery detection techniques.