Dominating direction based an efficient copy-move image tampering detection technique

摘要

Post-processing operations on a copy-move tampered image makes tampering detection a challenge. Most of the existing techniques are unable to address all the problems simultaneously. This paper presents a block-based technique, which addresses all these problems effectively. Here, at first, the approximate band coefficients are extracted using Contourlet Transform for further steps as it reduces the dimensionality as well as the effects of noise. Then Harris' matrix is used to find the dominant direction of the block to counter the rotation. Finally, singular values of blocks are calculated using singular value decomposition, which works as a feature vector. The efficacy of the proposed algorithm has been verified through extensive simulations and comparisons with several other challenging copy-move image tampering detection techniques.