A Comparison of Wavelet Family of Transforms from Image Forensics Perspective

Abstract

In this study, we compare wavelet based transforms for the cases of different image forensics problems. We extract wavelet based features and make experiments for different problems. The results show that a mixture of wavelet based features give the best performance in each experiment. In the absence of such a classifier with mixed features, the best performing features were obtained from contourlet transform coefficients.