Title :
An Algorithm for SAR Image Embedded Compression Based on Wavelet Transform
Author :
Kun, Li ; Shuang, Wang ; Biao, Hou ; Licheng, Jiao
Author_Institution :
Xidian Univ., Xi´´an
fDate :
July 30 2007-Aug. 1 2007
Abstract :
Synthetic aperture radar (SAR) image compression is important in image transmission and archiving. In this paper, SAR image compression using embedded zerotree wavelets algorithm, based on discrete wavelet transform (DWT), is researched. Aiming at special characteristics of SAR image such as speckle noise, the author added a denoise step in the flow of compression, trying to do some meaningful attempt in SAR image compression. Experiments carried out show that the improvement can reduce the speckle noise and improve the computation precision and time.
Keywords :
data compression; discrete wavelet transforms; image coding; radar imaging; synthetic aperture radar; discrete wavelet transform; embedded zerotree wavelets algorithm; image archiving; image transmission; synthetic aperture radar image compression; Additive noise; Degradation; Discrete wavelet transforms; Image coding; Image communication; Noise measurement; Noise reduction; Speckle; Synthetic aperture radar; Wavelet transforms; Image Embedded Compression; Synthetic Aperture Radar; discrete wavelet transform; image denoise;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
DOI :
10.1109/SNPD.2007.45
