Digital image forensics using wavelet based image models

The technologies making possible to change even the content of the digital media are developing fast. The demand for the development of mathematical and computational algorithms to determine the modifications on digital media has arisen and the studies in this area are gaining speed by the day. In this paper, we propose new statistical modeI for wavelet based transforms and try to differentiate between paintings of painters and images taken from different digital cameras. Experimental results show that the features obtained from ridgelet and contourlet transforms are more successful than the wavelet based features in differentiating these images.