ABSTRACT

Copy-Move forgery is a specific type of image forgery, in which a part of digital image is copied and pasted to another part in the same image. This paper describes blind forensics approach for detecting Copy-Move forgery. Our technique works by first applying DWT (Discrete Wavelet Transform) to the input image to yield a reduced dimension representation [1]. Then the compressed image is divided into overlapping blocks. These blocks are then sorted and duplicated blocks are identified using Phase Correlation as similarity criterion. Due to DWT usage, detection is first carried out on lowest level image representation. This approach drastically reduces the time needed for the detection process.