An Algorithm for SAR Image Embedded Compression Based on Wavelet Transform

Author

Kun, Li ; Shuang, Wang ; Biao, Hou ; Licheng, Jiao

Author_Institution

Xidian Univ., Xi´´an

Volume

1

fYear

2007

fDate

July 30 2007-Aug. 1 2007

Firstpage

374

Lastpage

378

Abstract

Synthetic aperture radar (SAR) image compression is important in image transmission and archiving. In this paper, SAR image compression using embedded zerotree wavelets algorithm, based on discrete wavelet transform (DWT), is researched. Aiming at special characteristics of SAR image such as speckle noise, the author added a denoise step in the flow of compression, trying to do some meaningful attempt in SAR image compression. Experiments carried out show that the improvement can reduce the speckle noise and improve the computation precision and time.

Keywords

data compression; discrete wavelet transforms; image coding; radar imaging; synthetic aperture radar; discrete wavelet transform; embedded zerotree wavelets algorithm; image archiving; image transmission; synthetic aperture radar image compression; Additive noise; Degradation; Discrete wavelet transforms; Image coding; Image communication; Noise measurement; Noise reduction; Speckle; Synthetic aperture radar; Wavelet transforms; Image Embedded Compression; Synthetic Aperture Radar; discrete wavelet transform; image denoise;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on

Conference_Location

Qingdao

Print_ISBN

978-0-7695-2909-7

Type

conf

DOI

10.1109/SNPD.2007.45

Filename

4287535