An adaptive image coder based on residue number system

Author

Tatsaki, Anna

Author_Institution

Hyundai Electron. America, San Jose, CA, USA

Volume

2

fYear

1996

fDate

13-16 Oct 1996

Firstpage

700

Abstract

An efficient coder for adaptive lossy compression of still images is presented. It is based on a computational efficient extraction of the details of image blocks. The Discrete Cosine Transform and an efficient Lattice Vector Quantizer based on the Residue Number System are applied. The coder has a very regular and modular structure, has very low computational complexity, and provides a very efficient signal-to-noise ratio at low bit-rates. No blocking effects are introduced

Keywords

adaptive codes; adaptive signal processing; block codes; discrete cosine transforms; image coding; image reconstruction; residue number systems; signal flow graphs; transform coding; vector quantisation; adaptive image coder; adaptive lossy compression; discrete cosine transform; image blocks; image reconstruction; lattice vector quantizer; low bit-rates; low computational complexity; regular modular structure; residue number system; signal flow graph; signal-to-noise ratio; still images; transform coding; Adaptive systems; Computational efficiency; Data compression; Discrete cosine transforms; Image coding; Image reconstruction; Lattices; Pixel; Signal to noise ratio; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on

Conference_Location

Rodos

Print_ISBN

0-7803-3650-X

Type

conf

DOI

10.1109/ICECS.1996.584458

Filename

584458