SAR Image Compression Using Bandelets and SPIlT

Author

Liu, Hanqiang ; Hou, Biao ; Wang, Shuang ; Jiao, Licheng

Author_Institution

Inst. of Intelligent Inf. Process., Xidian Univ., Xi´´an

fYear

2006

fDate

16-19 Oct. 2006

Firstpage

1

Lastpage

4

Abstract

Synthetic aperture radar (SAR) image compression is very important in reducing the costs of data storage and transmission. A new compression scheme is proposed, which is composed of a multilayered image representation, bandelets and set partitioning in hierarchical trees (SPIHT) wavelet compression scheme. Firstly the SAR image is separated into cartoon and texture map using non-linear diffusion filter, then the SPIHT and bandelets coding methods are used to code the two layers independently. Experimental results show that our method outperforms JPEG, SPIHT and bandelets compression methods on the SAR image

Keywords

data compression; filtering theory; image coding; image representation; image texture; synthetic aperture radar; trees (mathematics); wavelet transforms; SAR image compression; SPIHT wavelet compression scheme; bandelets coding method; hierarchical trees; multilayered image representation; nonlinear diffusion filter; set partitioning; synthetic aperture radar; texture map; Discrete wavelet transforms; Frequency; Histograms; Image coding; Image representation; Statistics; Synthetic aperture radar; Transform coding; Wavelet coefficients; Wavelet transforms; SPIHT; bandelets; non-linear diffusion; synthetic aperture radar (SAR); wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2006. CIE '06. International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-9582-4

Electronic_ISBN

0-7803-9583-2

Type

conf

DOI

10.1109/ICR.2006.343305

Filename

4148411