Quantification removing for satellite on-board remote image JPEG2000 compression algorithm

DU Lie-bo; XIAO Xue-min; LUO Wu-Sheng; L Hai-bao

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Quantification removing for satellite on-board remote image JPEG2000 compression algorithm

Article | 更新时间：2020-08-12

- Quantification removing for satellite on-board remote image JPEG2000 compression algorithm
- Optics and Precision Engineering Vol. 17, Issue 3, Pages: 690-694(2009)
- 作者机构：
  
  国防科技大学机电工程与自动化学院,湖南长沙,410072
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP751
- Received：23 May 2008，
  
  Revised：28 July 2008，
  
  Published Online：25 March 2009，
  
  Published：25 March 2009
- 稿件说明：
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杜列波, 肖学敏, 罗武胜, 吕海宝. 星载遥感图像JPEG2000压缩算法的去量化[J]. 光学精密工程, 2009,17(3): 690-694

DU Lie-bo, XIAO Xue-min, LUO Wu-Sheng, L Hai-bao. Quantification removing for satellite on-board remote image JPEG2000 compression algorithm[J]. Editorial Office of Optics and Precision Engineering, 2009,17(3): 690-694
杜列波, 肖学敏, 罗武胜, 吕海宝. 星载遥感图像JPEG2000压缩算法的去量化[J]. 光学精密工程, 2009,17(3): 690-694 DOI：

DU Lie-bo, XIAO Xue-min, LUO Wu-Sheng, L Hai-bao. Quantification removing for satellite on-board remote image JPEG2000 compression algorithm[J]. Editorial Office of Optics and Precision Engineering, 2009,17(3): 690-694 DOI：

摘要

随着空间技术的发展

空间遥感图像的数据量呈几何级数增加。为了满足JPEG2000星载遥感图像压缩系统的实时性要求

提出了一种对压缩算法进行优化和改进的方法。分析了离散小波变换后拉伸提升算法和JPEG2000量化算法。然后

通过一个新的拉伸量化因子将量化过程与后拉伸小波变换中的提升过程结合起来

减少了JPEG2000压缩算法的量化操作。最后

介绍了去量化处理方法的定点实现。实验结果表明:应用去量化处理方法可以使JPEG2000压缩算法中拉伸和量化过程所需要的时间降低50％

提升了JPEG2000星载遥感图像压缩系统的实时处理能力。

Abstract

With the development of space technology

the data of space remote sensing image are expanded greatly. To meet the real-time processing need of satellite on-board JPEG2000 image compression system

the optimization and improvement for the compression algorithm

as well as the design of high speed hardware process system are investigated. The Discrete Wavelet Transform(DWT) algorithm based on post-scaling lifting and quantification algorithm of JPEG2000 are analysed. Then

by a new scaling-quantification factor

the two processes of scaling in DWT and quantification are combined into one process to remove the quantification process in JPEG2000. Finally

the fixed-point implementation in the quantification removing method is brought forth. Experimental results indicate that the time for implementation scaling and quantification has been decreased by 50% with the new method

and the real-time processing ability of the satellite on-board JPEG2000 image compression system can be improved greatly.

关键词

Keywords

references

徐欣锋,黄廉卿,徐抒岩,等. 高空间分辨率遥感图像实时压缩进展[J]. 光学精密工程,2004,12(3):266-271. XU X F, HUANG L Q,XU SH Y,et al. Real-time compression of RS data of high spatial resolution[J]. Opt. Precision Eng.,2004,12(3):266-271. (in Chinese)[2] NICHOLSON D. An effective satellite on-board JPEG2000 image (de)coding implementation based on PIRANHA systematic-DSP . 20th AIAA International Communication Satellite Systems Conference and Exhibit, 2002:1-6.[3] TRENSCHEL T, BRETSCHNEIDER T, LEEDHAM G. Using JPEG2000 on-board mini-satellites for image-driven compression . IEEE International Geoscience and Remote Sensing Symposium, 2003:2033-2035.[4] 赵清,林宝军,张善从. JPEG2000遥感图像实时压缩系统[J]. 计算机仿真,2007(3):180-183. ZHAO Q, LIN B J, ZHANG SH C. JPEG2000 remote sense real-time encoding system . Computer Simulation.2007(3):180-183. (in Chinese)[5] SWELDENS W. The lifting scheme: a custom design construction of biorthogonal wavelets[J]. Applied and Computational Harmonic Analysis, 1996(3):186-200.[6] 钟广军,成礼智,陈火旺. 多级多维离散小波变换的快速提升计算[J]. 电子学报,2001,29(11):1475-1477. ZHONG G J, CHENG L ZH, CHEN H W. Fast lifting algorithm for multi-level and multidimensional discrete wavelet transform[J]. Acta Electronica Sinica, 2001,29(11):1475-1477.(in Chinese)[7] TAUBMAN D S. JPEG2000: Image Compression Fundamentals, Standards and Practice[M]. Massachusetts: Kluwer Academic Publishers, 2002:436-441.

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