Detecting photographic and computer generated composites

V. Conotter; L. Cordin

doi:10.1117/12.872565

3 February 2011 Detecting photographic and computer generated composites

V. Conotter, L. Cordin

Proceedings Volume 7870, Image Processing: Algorithms and Systems IX; 78700A (2011) https://doi.org/10.1117/12.872565
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Nowadays, sophisticated computer graphics editors lead to a significant increase in the photorealism of images. Thus, computer generated (CG) images result to be convincing and hard to be distinguished from real ones at a first glance. Here, we propose an image forensics technique able to automatically detect local forgeries, i.e., objects generated via computer graphics software inserted in natural images, and vice versa. We develop a novel hybrid classifier based on wavelet based features and sophisticated pattern noise statistics. Experimental results show the effectiveness of the proposed approach.

Citation Download Citation

V. Conotter and L. Cordin "Detecting photographic and computer generated composites", Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78700A (3 February 2011); https://doi.org/10.1117/12.872565

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