Simple and efficient wavelet image compression

Author

Yu, Tian-Hu ; He, Zhihai ; Mitra, Sanjit K.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

Volume

3

fYear

2000

fDate

2000

Firstpage

174

Abstract

We propose a simple but efficient wavelet image compression algorithm. The proposed coding scheme employs the multi-level dyadic wavelet decomposition, linear quantization with a proper dead zone, 1-D addressing complexity by raster scanning within subbands, variable length block coding, small alphabet representation of 1-D integer sequences, and adaptive arithmetic entropy coding. Despite the simplicity of the proposed coding scheme, the rate-distortion performance of the proposed image compression algorithm is competitive with the best image coders in the literature

Keywords

adaptive codes; arithmetic codes; block codes; computational complexity; data compression; entropy codes; image coding; quantisation (signal); rate distortion theory; transform coding; variable length codes; wavelet transforms; 1D integer sequences; adaptive arithmetic entropy coding; addressing complexity; image coding; linear quantization; multi-level dyadic wavelet decomposition; raster scanning; rate-distortion performance; small alphabet representation; variable length block coding; wavelet image compression; Arithmetic; Bit rate; Digital images; Entropy coding; Image coding; Image storage; Partitioning algorithms; Quantization; Strontium; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899323

Filename

899323