DocumentCode :
732165
Title :
Onboard SPIHT-based and textural-dependent data compression of one-look SAR images
Author :
Alpatov, Boris A. ; Bekhtin, Yury S.
Author_Institution :
Ryazan State Radio Eng. Univ., Ryazan, Russia
fYear :
2015
fDate :
14-18 June 2015
Firstpage :
151
Lastpage :
154
Abstract :
The suggested SPIHT-based (Set Partitioning in Hierarchical Trees) compression method for degraded one-look SAR images is aimed to be realized in onboard radar hardware to improve quality of on-ground registered image. The main idea of the method is to select two segments in the SAR image: with relatively uncorrupted data (after some processing) and data with fully developed speckle. Then, these two sets of points are encoded separately forming two bit streams as outputs of the SPIHT algorithm. The results of modeling have shown the advantage of the textural-dependent data compression in comparing with some famous compression and despeckling procedures under PSNR and SSIM criteria.
Keywords :
data compression; image coding; image denoising; image registration; image texture; radar imaging; set theory; synthetic aperture radar; trees (mathematics); PSNR criteria; SSIM criteria; degraded one-look SAR images; fully developed speckle; on-ground registered image quality improvement; onboard SPIHT-based data compression; onboard textural-dependent data compression; relatively uncorrupted data; set partitioning-in-hierarchical trees; synthetic aperture radar imagery; Bit rate; Image coding; Noise; Speckle; Streaming media; Synthetic aperture radar; Wavelet transforms; SAR; SPIHT; image compression; speckle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Computing (MECO), 2015 4th Mediterranean Conference on
Conference_Location :
Budva
Print_ISBN :
978-1-4799-8999-7
Type :
conf
DOI :
10.1109/MECO.2015.7181889
Filename :
7181889
Link To Document :
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