NDLI: An Algorithm of Adaptive Sub-Band Coding for SAR Image Based on Wavelet Transform

Content Provider	IEEE Xplore Digital Library
Author	Cheng Ying-lei Li Yong-le Sun Ji-da Li Xiao-chun
Copyright Year	2010
Abstract	The SAR image data must be compressed efficiently so that the requirements for transmission bandwidth and storage space, which are brought by large amount of data on SAR image, can be reduced. The traditional methods of SAR image compression based on wavelet transformation can only decompose low frequency sub-bands, resulting in the loss of important information of high frequency sub-bands. Aiming at the problem mentioned above, in this paper, a self-adaptive SAR image compression algorithm based on wavelet transformation is presented. Firstly, the speckle noise is reduced through wavelet soft threshold. And then the importance of sub-bands is judged according to the energy indicators, to further decompose the more important ones. After comleting the decomposition, all the sub-bands are quantized by the minimum error rule at the same bit rate to achieve the self-adaptive SAR image compression. It is shown that the algorithm can well protect the high frequency details of SAR image and achieve better compression results as well.
Starting Page	1
Ending Page	5
File Size	398066
Page Count	5
File Format	PDF
ISBN	9781424453917
DOI	10.1109/CISE.2010.5677181
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Image coding Bit rate Noise Quantization Speckle
Content Type	Text
Resource Type	Article

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