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Volume 27 Issue 5
May  2005
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Tang Hong, Yu Wei-dong, Xu Feng, Xie Dong-dong . An Algorithm for SAR Imge Lossy Compression Based on Lifting Scheme[J]. Journal of Electronics & Information Technology, 2005, 27(5): 779-783.
Citation: Tang Hong, Yu Wei-dong, Xu Feng, Xie Dong-dong . An Algorithm for SAR Imge Lossy Compression Based on Lifting Scheme[J]. Journal of Electronics & Information Technology, 2005, 27(5): 779-783.

An Algorithm for SAR Imge Lossy Compression Based on Lifting Scheme

  • Received Date: 2003-12-16
  • Rev Recd Date: 2004-03-29
  • Publish Date: 2005-05-19
  • In this paper a new algorithm for SAR image lossy compression based on lifting scheme is brought forward, aiming at special characteristics of SAR imagery. The algorithm can reduce the speckle noise, improve the computation precision and time, and upswing the compression ability. The algorithm adopts embedded zerotree wavelets, making good use of the wavelet coefficients .Large numbers of SAR images validate the efficiency of the proposed algorithm.The results compare favorably with that of other image compression methods.
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  • Cumming I, Wang J. Polarmetric SAR data compression using wavelet packets in a block coding scheme. IEEE Trans. on Geoscience andRemote Sensing, 2002, 6(2): 145 - 157.[2]Jens Fischer, Ursula Benz. Efficient SAR raw data compression in frequency domain. IEEE Trans. on Geoscience and Remote Sensing, 1999, 3(11): 96- 108.[3]Wim Sweldens. The lifting scheme: A construction of second generation wavelets [J].SIAM J. Math. Anal.1997, 29(2):511-[4]Ingrid Daubechies, Wim Sweldens. Factoring wavelet transforms into lifting steps[J].J. Fourier Anal. Appl.1998, 4(3):247-[5]Antonini M, Barlaud M, Mathieu P, et al.. Image coding using the wavelet transform [J].IEEE Trans. on Image Processing.1993, 1(2):205-[6]Shapiro J M. Embedded image coding using zerotree of wavelet coefficients[J].IEEE Trans. on Signal Processing.1993, 41(12):3445-[7]周乐,谢洪涛.基于JPEG的自适应量化算法.重庆工业高等专科学校学报,2002,3:35-39.[8]Sakarya A, Wei Dong, Emek Serkan. An evaluation of SAR image compression. IEEE Trans. on Geoscience and Remote Sensing, 1988, 2(7): 142 - 146.
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