Comparison of different image subband coding methods at low bit rates

Author

Zhang, Weixing ; Fischer, Thomas R.

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA

Volume

9

Issue

3

fYear

1999

fDate

4/1/1999 12:00:00 AM

Firstpage

419

Lastpage

423

Abstract

Two image subband coding methods are introduced as combinations of trellis-coded quantization (TCQ) with zerotree and stack-run coding. These TCQ-based image coding algorithms are compared, at low bit rates, with the set partitioning in hierarchical trees and stack-run scalar quantization-based image coding algorithms. Direct use of TCQ with zerotree or stack-run coding methods is found to provide little or no improvement in rate-distortion performance compared to scalar quantization

Keywords

arithmetic codes; image coding; quantisation (signal); rate distortion theory; trellis codes; TCQ; arithmetic coding; hierarchical trees; image coding algorithms; image subband coding methods; low bit rates; objective measure; rate-distortion performance; set partitioning; set partitioning in hierarchical trees; stack-run coding; stack-run scalar quantization; subjective measure; trellis-coded quantization; zerotree coding; Algorithm design and analysis; Arithmetic; Bit rate; Computer science; Encoding; Image coding; Partitioning algorithms; Quantization; Rate-distortion; Tree data structures;

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/76.754771

Filename

754771