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Proceedings Paper

Coding of images based on finite algebraic structures and fast convolution algorithms
Author(s): Alexander M. Krot; Mikhail N. Dolgikh; Natalya A. Romanovskaya
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Paper Abstract

This paper gives brief overview of the signal processing problem about image and video coding using new types of discrete orthogonal transforms whose matrices are described with finite group character tables. The new effective algorithm of digital information compression based on discrete transform and convolutions on finite algebraic structures have been developed for reducing temporal and energy expenditures, increasing precision and processing reliability of large information volumes in the computer systems.

Paper Details

Date Published: 22 July 1997
PDF: 9 pages
Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); doi: 10.1117/12.280907
Show Author Affiliations
Alexander M. Krot, Institute of Engineering Cybernetics (Belarus)
Mikhail N. Dolgikh, Institute of Engineering Cybernetics (Belarus)
Natalya A. Romanovskaya, Institute of Engineering Cybernetics (Belarus)


Published in SPIE Proceedings Vol. 3079:
Detection and Remediation Technologies for Mines and Minelike Targets II
Abinash C. Dubey; Robert L. Barnard, Editor(s)

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