Image compression based on unrestrained sized wavelet transform

Author

Renxi, Chen ; Zhongming, Zhao ; Zhong, Chen

Author_Institution

Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing, China

Volume

2

fYear

2005

fDate

25-29 July 2005

Abstract

In this paper, we adopt a wavelet decomposition scheme that doesn´t require 2^N size image and avoid data padding. Instead of tree-structure coding algorithms, we just apply scalar quantization and arithmetic coding to every sub-band separately after wavelet transformation. The optimized bit-rates for every sub-band are confirmed by the BFOS algorithm. The experiment shows that this scheme can perform as well as the sophisticated algorithm SPIHT and it has the new property of resolution progressive.

Keywords

data compression; geophysical signal processing; geophysical techniques; image coding; remote sensing; wavelet transforms; arithmetic coding; bit-rate optimization; image compression; resolution progressive property; scalar quantization; unrestrained sized wavelet transform; wavelet decomposition; Arithmetic; Discrete cosine transforms; Image coding; Image resolution; Information processing; Low pass filters; Quantization; Remote sensing; Tree data structures; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International

Print_ISBN

0-7803-9050-4

Type

conf

DOI

10.1109/IGARSS.2005.1525199

Filename

1525199