Suitability of Independent Component Analysis in Digital Image Forgery Detection

Digital image forgery detection is one of the hot research area in the recent time. A lot of researchers are trying different tools to establish the authenticity of a given image. There can be many types of forgery performed on digital image. Watermarking is one of the traditional techniques to detect any type of tampering with the original image, but that has to be done at the time of capturing the image. Once an image has been captured without such technique, there is no alternate but to apply different blind forgery detection techniques. The present paper is an effort to explore Independent Component Analysis (ICA) as a tool to get clues about the tampering with original image. The results may provide further leads to the researchers working in the same area.