A passive technique for image forgery detection using contrast context histogram features

This is the authors' abstract. We don't add key points for this paper.

The multimedia data such as digital images are essential to expose the evidence. There are numerous, image editing software through which the original images can be intentionally manipulated or forged for mishandling purposes. It is very difficult to discover the forgery by visually analysing it. Specifically, the copy move forgery is extremely challenging to expose the forged region. In this paper, contrast context histogram (CCH) features are used to effectively detect the copy move forgery and k-means clustering algorithm to segregate the key points of copy move forged regions. The disparity map is created using sum of absolute difference to localise these regions. The comparative study was carried out and the performances reveal that the proposed system is better than the existing methods.