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Proceedings Paper

Fast identification of highly distorted images
Author(s): Taras Holotyak; Sviatoslav Voloshynovskiy; Fokko Beekhof; Oleksiy Koval
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Paper Abstract

In this paper, we consider a low complexity identification system for highly distorted images. The performance of the proposed identification system is analyzed based on the average probability of error. An expected improvement of the performance is obtained combining random projection transform and concept of bit reliability. Simulations based on synthetic and real data confirm the efficiency of the proposed approach.

Paper Details

Date Published: 28 January 2010
PDF: 8 pages
Proc. SPIE 7541, Media Forensics and Security II, 754116 (28 January 2010); doi: 10.1117/12.838962
Show Author Affiliations
Taras Holotyak, Univ. of Geneva (Switzerland)
Sviatoslav Voloshynovskiy, Univ. of Geneva (Switzerland)
Fokko Beekhof, Univ. of Geneva (Switzerland)
Oleksiy Koval, Univ. of Geneva (Switzerland)


Published in SPIE Proceedings Vol. 7541:
Media Forensics and Security II
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp, Editor(s)

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