Ozparlak, LeventAvcibas, Ismail2025-10-242025-10-242012978-605-87394-6-8#DEĞER!https://hdl.handle.net/20.500.12899/41619th International Conference on Electronics Computer and Computation (ICECCO 2012) -- NOV 01-03, 2012 -- Ankara, TURKEYIn 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.eninfo:eu-repo/semantics/closedAccessImage Manipulation; Image Forensics; Wavelet Transform; Contourlet Transform; Ridgelet TransformConference Object247250WOS:000396806300059N/A