New Features to Identify Computer Generated Images

Discrimination of computer generated images from real images is becoming more and more important. In this paper, we propose the use of new features to distinguish computer generated images from real images. The proposed features are based on the differences in the acquisition process of images. More...

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Bibliographic Details
Main Authors: Dirik, A.E., Bayram, S., Sencar, H.T., Memon, N.
Format: Conference Proceeding
Language:English
Subjects:
Bayer filter
chromatic aberration
computer generated
Computer vision
demosaicking
Digital cameras
Digital filters
Digital image forensics
Digital images
Feature extraction
Image coding
Image generation
Interpolation
Nonlinear filters
Wavelet transforms
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Description
Summary:Discrimination of computer generated images from real images is becoming more and more important. In this paper, we propose the use of new features to distinguish computer generated images from real images. The proposed features are based on the differences in the acquisition process of images. More specifically, traces of demosaicking and chromatic aberration are used to differentiate computer generated images from digital camera images. It is observed that the former features perform very well on high quality images, whereas the latter features perform consistently across a wide range of compression values. The experimental results show that proposed features are capable of improving the accuracy of the state-of-the-art techniques.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2007.4380047