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Proceedings Paper

Detecting photographic and computer generated composites
Author(s): V. Conotter; L. Cordin
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Paper 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.

Paper Details

Date Published: 3 February 2011
PDF: 6 pages
Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78700A (3 February 2011); doi: 10.1117/12.872565
Show Author Affiliations
V. Conotter, Univ. of Trento (Italy)
L. Cordin, Univ. of Trento (Italy)

Published in SPIE Proceedings Vol. 7870:
Image Processing: Algorithms and Systems IX
Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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