NDLI: Improvement of Bandelets in cost function and coding strategy for SAR image compression

Content Provider	IEEE Xplore Digital Library
Author	Shuyuan Yang Ruixia Wu Huixiao Meng Licheng Jiao
Copyright Year	2009
Description	Author affiliation: Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi'an 710071, P.R. China (Shuyuan Yang; Ruixia Wu; Huixiao Meng; Licheng Jiao)
Abstract	Synthetic aperture radar (SAR) data collections can cover large areas at high resolution, generating massive amounts of data. Many existed transform-based compression techniques can effectively reduce the costs of storage and transmission with slight loss of information. As a new developed multi-resolution geometry analysis tool, Bandelet can make full use of intrinsic geometry regularity of images and exhibit enormous potential in image compression. In this paper, we propose a low complexity Bandelet transform for SAR image compression. A new cost function is defined to determine the optimal geometric flows in each dyadic squared sub-block of images, and an optimization of low frequency component followed by EBCOT coding of the Bandelet coefficients are employed. Some experiments are taken on some Ku-band SAR images came from Sandia National Laboratories and the results show the superiority of our proposed method over JPEG2000 and the second generation Bandelet in PSNR, ENL and EPI.
Starting Page	1132
Ending Page	1135
File Size	307188
Page Count	4
File Format	PDF
ISBN	9781424427314
DOI	10.1109/APSAR.2009.5374141
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	EBCOT SAR image compression Bandelet Laboratories Data compression Roentgenium Remote sensing Signal resolution Image coding Transform coding Cost function Image storage Synthetic aperture radar
Content Type	Text
Resource Type	Article

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