Fast identification of highly distorted images | Zendy

Taras Holotyak | Zendy; Slava Voloshynovskiy | Zendy; Fokko Beekhof | Zendy; Oleksiy Koval | Zendy

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Fast identification of highly distorted images

Author(s) -

Taras Holotyak,

Slava Voloshynovskiy,

Fokko Beekhof,

Oleksiy Koval

Publication year - 2010

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.838962

Subject(s) - identification (biology) , computer science , reliability (semiconductor) , artificial intelligence , algorithm , projection (relational algebra) , random projection , image (mathematics) , computer vision , pattern recognition (psychology) , power (physics) , physics , botany , quantum mechanics , biology

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

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