Proceedings Article10.1109/SNPD.2007.133
An Algorithm for SAR Image Embedded Compression Based on Wavelet Transform
Li Kun,Wang Shuang,Hou Biao,Jiao Licheng +3 more
- 30 Jul 2007
- Vol. 1, pp 374-378
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TL;DR: 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.
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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.
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Low bit rate SAR image coding based on adaptive multiscale Bandelets and cooperative decision
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Low bit-rate SAR image encoding using Bandelets with adaptive quadtree partition
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- 01 Oct 2009
TL;DR: This paper addresses the problem of SAR image compression and applies the multiscale Bandelet with adaptive quadtree partition to solve it and shows that the proposed method outperforms JPEG2000 and the second generation Bandelets (2G-Bandelet) compression methods on SAR image encoding at low bit rates.
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A Hybrid Algorithm for Speckle Noise Reduction in SAR Images
Nayef Y. Al-Delbah,Kie B. Eom +1 more
- 01 May 2011
TL;DR: A hybrid algorithm based on spatial domain as well as frequency domain processing of SAR images so as to allow for better removal of speckle noise and preservation of the fine details resulted in better than 30dB improvement in the signal to noise ratio.
1
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