Research on the Radar Image Compression of VDR Based on SPIHT

Author

Liu, Sheng ; Jiang, Na ; Zhang, Like ; Xu, Donghao

Author_Institution

Coll. of Autom., Harbin Eng. Univ.

fYear

2006

fDate

25-28 June 2006

Firstpage

2357

Lastpage

2361

Abstract

In this paper, the radar image compression of voyage data recorder (VDR) is researched. A sheet of radar image is stored in a VDR after an interval of time, so the compression algorithm for radar image may be seen as immobile image compression. The image compression process includes discrete wavelet transform (DWT), quantization and entropy coding. First, the DWT and its fast Mallat algorithm is presented. Then, the character of the image after DWT is analyzed. The set partitioning in hierarchical trees (SPIHT) coder includes the function of quantization and entropy coding, the SPIHT coder is explained in this paper briefly. At last, several wavelet functions in common use are chosen to compress the radar image, and code for it with two coding algorithms: embedded zerotree wavelet (EZW) and SPIHT. The simulation results show the SPIHT is more effective than EZW

Keywords

data compression; data recording; discrete wavelet transforms; entropy codes; radar imaging; trees (mathematics); discrete wavelet transform; embedded zerotree wavelet; entropy coding; radar image compression; set partitioning in hierarchical trees; voyage data recorder; Automation; Compression algorithms; Discrete wavelet transforms; Entropy coding; Filtering algorithms; Image coding; Image storage; Quantization; Radar imaging; Wavelet coefficients; Discrete Wavelet Transform; Radar image compression; Set partitioning in hierarchical trees coder; Voyage Data Recorder;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on

Conference_Location

Luoyang, Henan

Print_ISBN

1-4244-0465-7

Electronic_ISBN

1-4244-0466-5

Type

conf

DOI

10.1109/ICMA.2006.257700

Filename

4026467