Multiresolution progressive image transmission with storage and transmission time constraints

Author

Hwang, Wen-Jyi ; Hwu, Rong-Fuh ; Leou, Maw-Rong

Author_Institution

Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan

Volume

43

Issue

4

fYear

1997

fDate

11/1/1997 12:00:00 AM

Firstpage

1132

Lastpage

1142

Abstract

This paper presents novel multiresolution progressive image transmission (PIT) design algorithms with storage size and transmission time constraints. In the algorithms, the resolution at each stage and the storage size of the whole PIT systems can be controlled. Moreover, the transmission time at each stage or the accumulated transmission time up to the final stage can be specified before the design. The algorithms use the wavelet transform and the entropy-constrained vector quantization (ECVQ) design algorithm to construct PIT systems. The wavelet transform is used to achieve the multiresolution transmission. The ECVQ algorithm is employed to control the storage sizes and transmission times of the PIT systems. From the simulations, the algorithms are shown to be effective in implementing the PIT systems where the resolution, transmission time and storage size are important concerns

Keywords

entropy codes; image coding; image resolution; transform coding; vector quantisation; visual communication; wavelet transforms; ECVQ; QMF filter impulse responses; design algorithms; entropy-constrained vector quantization; image storage; multiresolution progressive image transmission; simulations; storage size constraints; transmission time constraints; wavelet transform; Algorithm design and analysis; Control systems; Image communication; Image recognition; Image resolution; Image storage; Size control; Time factors; Vector quantization; Wavelet transforms;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/30.642381

Filename

642381