Identifying Tampered Regions Using Singular Value Decomposition in Digital Image Forensics

Detecting tampered regions and proving the authenticity and integrity of a digital image becomes increasingly important in digital forensics and multimedia security. In this paper we propose a novel framework for identifying the location of copy-move image tampering by applying the singular value decomposition(SVD). In the proposed passive techniques, SVD served to produce algebraic and geometric invariant and feature vectors. Experimental results demonstrate the validity of the proposed approach to tampered images undergone some attacks like Gaussian blur filtering, Gaussian white noise contamination, lossy JPEG compression, etc.