Image compression using a new discrete multiwavelet transform and a new embedded vector quantization

Author

Bao, Kai ; Xia, Xiang-Gen

Author_Institution

Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA

Volume

10

Issue

6

fYear

2000

fDate

9/1/2000 12:00:00 AM

Firstpage

833

Lastpage

842

Abstract

An embedded image compression scheme using the discrete multiwavelet transform (DMWT) is proposed. The proposed coding scheme is based on a new prefilter design for DMWT and a new embedded coding algorithm which combines scalar quantization and 2×2 vector quantization (VQ). A new algorithm for embedded VQ codebook generation is proposed, which is shown to have a better performance than the current schemes. The performance of the proposed compression scheme is comparable to the one of the SPIHT algorithm

Keywords

discrete wavelet transforms; image coding; transform coding; vector quantisation; SPIHT algorithm; discrete multiwavelet transform; embedded VQ codebook generation; embedded coding algorithm; embedded image compression; embedded vector quantization; image coding; performance; prefilter design; scalar quantization; Algorithm design and analysis; Discrete transforms; Discrete wavelet transforms; Engineering profession; Filter bank; Frequency; Image coding; Partitioning algorithms; Streaming media; Vector quantization;

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/76.867920

Filename

867920