MM-band radar image wavelet compression with prefiltering

Author

Sabelkin, M.V. ; Ponomarenko, N.N.

Author_Institution

Nat. Aerosp. Univ., Kharkov, Ukraine

Volume

1

fYear

2001

fDate

2001

Firstpage

280

Abstract

It is known that MM-band radar images are affected by the phenomenon of multiplicative noise. This phenomenon decreases the performance of 2D wavelet transform based compression algorithms and it can be improved if suitable denoising algorithm is used as a preprocessing stage. We show that it is expedient to use nonlinear filters at the preprocessing stage. In this paper comparative analysis or application of the local statistic Lee, the standard and modified sigma filters is performed. Simulation results are given for test images

Keywords

data compression; filtering theory; image coding; millimetre wave imaging; nonlinear filters; radar imaging; wavelet transforms; 2D wavelet transform; MM-band radar image; compression algorithm; denoising algorithm; image prefiltering; image preprocessing; local statistic Lee filter; multiplicative noise; nonlinear filter; sigma filter; Compression algorithms; Filters; Image coding; Image storage; PSNR; Radar applications; Radar imaging; Statistical analysis; Testing; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Physics and Engineering of Millimeter and Sub-Millimeter Waves, 2001. The Fourth International Kharkov Symposium on

Conference_Location

Kharkov

Print_ISBN

0-7803-6473-2

Type

conf

DOI

10.1109/MSMW.2001.946825

Filename

946825