A new variable-rate finite-state vector quantization for image compression

Author

Chen, W.-S. ; Liao, H.-E. ; Tsai, H.-Y.

Author_Institution

Dept. of Electr. Eng., Feng Chia Univ., Taichung, Taiwan

Volume

1

fYear

1996

fDate

1996

Firstpage

115

Abstract

In this paper, a new variable-rate finite-state vector quantization (VRFSVQ) for image compression is presented. The VRFSVQ codec system consists of a tree-structured vector quantizer via the M-algorithm for searching, called M-TSVQ, a next-state generator which is specified by using index-matching criterion, and a variable-length codec. From the simulation results, a very low bit-rate image codec with good image quality and low encoding complexity may be achieved

Keywords

codecs; computational complexity; data compression; digital simulation; image coding; simulation; vector quantisation; M-TSVQ; M-algorithm; VRFSVQ codec system; encoding complexity; image compression; image quality; index-matching criterion; low bit-rate image codec; next-state generator; simulation; tree-structured vector quantizer; variable-length codec; variable-rate finite-state vector quantization; Bit rate; Books; Codecs; Decoding; Feedback; Image coding; Image reconstruction; Pixel; Transmitters; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE

Conference_Location

Brussels

Print_ISBN

0-7803-3312-8

Type

conf

DOI

10.1109/IMTC.1996.507359

Filename

507359