Title :
MM-band radar image wavelet compression with prefiltering
Author :
Sabelkin, M.V. ; Ponomarenko, N.N.
Author_Institution :
Nat. Aerosp. Univ., Kharkov, Ukraine
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;
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
DOI :
10.1109/MSMW.2001.946825
