Efficient image and channel coding for wireless packet networks

Author

Sherwood, Greg ; Tian, Xiaodong ; Zeger, Kenneth

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA

Volume

2

fYear

2000

fDate

10-13 Sept. 2000

Firstpage

132

Abstract

We combine multiple description (MD) quantization, entropy coding, and data partitioning to improve the error resiliency of images over varying packet loss channels. Our proposed scheme degrades gracefully as channel conditions worsen. A multidimensional extension of the two-channel multiple description scalar quantizer (MDSQ) improves robustness. A high performance wavelet image coder is designed for MDSQ, using the set-partitioning-in-hierarchical-trees (SPIHT) algorithm for entropy coding. Experimentally, with 4 descriptions, the new coder outperforms previous reports at any loss rate.

Keywords

channel coding; data compression; entropy codes; image coding; packet radio networks; quantisation (signal); transform coding; trees (mathematics); wavelet transforms; MDSQ; SPIHT algorithm; channel conditions; data partitioning; efficient channel coding; efficient image coding; entropy coding; error resiliency; high performance wavelet image coder; loss rate; multiple description quantization; packet loss channels; set-partitioning-in-hierarchical-trees; two-channel multiple description scalar quantizer; wireless packet networks; Channel coding; Costs; Decoding; Degradation; Entropy coding; Forward error correction; Image coding; Multidimensional systems; Quantization; Redundancy;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC, Canada

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899245

Filename

899245