DocumentCode :
3359884
Title :
SAR image compression at very low bit-rate
Author :
Zhai Jiefu ; Wang Zhensong
Author_Institution :
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China
Volume :
3
fYear :
2004
fDate :
31 Aug.-4 Sept. 2004
Abstract :
SAR (synthesis aperture radar) generates huge amounts of data which may easily exhaust the available capacity of downlink or storage device of the spaceborne SAR system. So there are special interests in SAR image compression. Common methods suffer from "ringing" effect at very low bit-rate when using wavelet codec: as a result poor quality is achieved. Our approach uses a Gaussian filter as a low-pass filter, which not only acts as a despeckle tool, but also makes the image signal smooth enough so that it can be compressed at very low bit-rate with little ring bell artifacts. Then the image can be encoded with familiar wavelet codec such as JPEG2000. At the decode side, we apply a Wiener filter to act as a post-process which restore important edge information. The experiment results present on RADARSAT images show good visual qualify at 0.25 bpp.
Keywords :
Gaussian processes; Wiener filters; data compression; image coding; image restoration; low-pass filters; radar imaging; synthetic aperture radar; wavelet transforms; Gaussian filter; JPEG2000; RADARSAT image; SAR image compression; Wiener filter; low-pass filter; spaceborne SAR system; storage device; synthetic aperture radar; wavelet codec; Codecs; Decoding; Downlink; Image coding; Low pass filters; Radar imaging; Spaceborne radar; Synthetic aperture radar; Transform coding; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
Type :
conf
DOI :
10.1109/ICOSP.2004.1442206
Filename :
1442206
Link To Document :
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