Manipulated Image Detection by using Scale Invariant Feature Detection Algorithm
Swaleha B. Chougale, Anis Mulla, Dhanashee V Patil · International Journal of Computer Applications · 2014
We deal with large amount of multimedia data either audio, video or image. In today’s world seeing is no longer believingthe technology that allows for digital visual data to be manipulated is developing at great speed. The quick advance in image editing techniques has enabled people to synthesize realistic images conveniently. Some legal issues may arise when a manipulated image cannot be distinguished from original one by visual examination. In this paper Scale Invariant Feature Transform algorithm is used to extract interest points of an image. Voting procedure algorithm is used to determine transformation with respect to X-axis and Y-axis. Final results differentiates manipulated image from original image.