Digital image forensics using wavelet based image models
- Resource Type
- Conference
- Authors
- Ozparlak, Levent; Avcibas, Ismail
- Source
- 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU) Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on. :335-338 Apr, 2011
- Subject
- Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Earth Observing System
Signal processing
Conferences
Media
Transforms
System-on-a-chip
Silicon carbide
- Language
- ISSN
- 2165-0608
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 modeISfor 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.