Fast identification of highly distorted images

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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.

Taras Holotyak, Sviatoslav Voloshynovskiy, Fokko B

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Average Probability | Forensic Engineering | Low Complexity Identification | MEDIAFORENSICS 2010 | Random Projection Transform |

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Added	29 Oct 2010
Updated	29 Oct 2010
Type	Conference
Year	2010
Where	MEDIAFORENSICS
Authors	Taras Holotyak, Sviatoslav Voloshynovskiy, Fokko Beekhof, Oleksiy J. Koval

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Fast identification of highly distorted images

Average Probability | Forensic Engineering | Low Complexity Identification | MEDIAFORENSICS 2010 | Random Projection Transform |

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