一种改进的无链表3DSPITH算法用于高光谱图像压缩

马冬梅, 马彩文, 摆玉龙

马冬梅, 马彩文, 摆玉龙. 一种改进的无链表3DSPITH算法用于高光谱图像压缩[J]. 应用光学, 2011, 32(3): 446-451.
引用本文: 马冬梅, 马彩文, 摆玉龙. 一种改进的无链表3DSPITH算法用于高光谱图像压缩[J]. 应用光学, 2011, 32(3): 446-451.
shu
MA Dong-mei, MA Cai-wen, BAI Yu-long. Modified listless 3DSPITH with ROI for hyperspectral image compression[J]. Journal of Applied Optics, 2011, 32(3): 446-451.
Citation: MA Dong-mei, MA Cai-wen, BAI Yu-long. Modified listless 3DSPITH with ROI for hyperspectral image compression[J]. Journal of Applied Optics, 2011, 32(3): 446-451.
shu

一种改进的无链表3DSPITH算法用于高光谱图像压缩

  • 1.

    西北师范大学物理与电子工程学院,甘肃兰州7300070;

  • 2.

    中国科学院西安光学精密机械研究所,陕西西安710119

详细信息
    通讯作者:

    马冬梅（1976-），女，甘肃兰州人，讲师，博士，主要从事光电信号与图像处理技术的研究工作。

  • 中图分类号: TN919.81

Modified listless 3DSPITH with ROI for hyperspectral image compression

  • 1.

    College of Physics and Electronic Engineering,Northwest Normal University,Lanzhou730070,China;

  • 2.

    Xi-an Institute of Optics and Precision Mechanics,CAS,Xi-an710119,China

摘要

    摘要
  • 摘要: 针对大孔径静态干涉成像光谱仪(LASIS)的成像特点，提出了一种基于三维非对称等长树小波变换的无链表SPITH算法结合ROI的图像压缩方案。首先，对干涉高光谱图像进行三维非对称等长树离散小波变换。其次，采用ROI方法对主要的光谱系数进行保护。最后，采用改进的三维无链表SPITH算法，编码干涉高光谱图像的小波变换域。实验结果表明，该方法在8∶1压缩比下，获得大于40 dB的平均峰值信噪比，同时有效地保护了光谱信息。
    Abstract: A compression algorithm based on asymmetric uniform-tree 3D-DWT and modified listless 3DSPIHT in conjunction with region of interesting (ROI) is presented. It is specially developed for the large aperture static imaging spectrometer (LASIS) system according to its interference properties. Firstly, the hyperspectral interference image series with asymmetric uniform-tree 3D-DWT are decomposed. Secondly, the major hyperspectral coefficients are protected by ROI method. Finally, a modified listless 3DSPIHT algorithm to encode the transformed images is given. The numerical experiment results show that the average PNSR is more than 40dB at 8:1 compression rate, and the efficient protection of hyperspectral information is achieved.
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    • 参考文献(1)
  • ［1］孔繁锵, 李云松, 吴成柯, 等. 大孔径静态干涉多光谱图像压缩算法［J］. 宇航学报, 2007, 28(6): 1694-1697.

    KONG Fan-qiang, LI Yun-song, WU Cheng-ke et al. The image compression algorithm of the large aperture static imaging interference spectrometry［J］. Journal of Astronautics, 2007, 28(6): 1694-1697.(in Chinese with an English abstract)

    ［2］吴冬梅, 王军, 张海宁. 基于谱间DPCM 和整数小波变换的超光谱图像无损压缩［J］. 光子学报, 2008, 37(1): 156-159.

    WU Dong-mei, WANG Jun, ZHANG Hai-ning. Research of hyper-spectral image lossless compressing technology based on DPCM between spectra and IWT［J］. Acta Photonica Sinica, 2008, 37(1): 156-159. (in Chinese with an English abstract)

    ［3］李云松, 马静, 吴成柯. 基于方向角预测三维小波变换的干涉多光谱图像压缩［J］. 光学学报, 2008, 28(12): 2281-2287.

    LI Yun-song, MA Jing, WU Cheng-ke. Three-dimensional orientation prediction-based wavelet transform for interference multi-spectral images compression［J］. Acta Optica Sinica, 2008, 28(12): 2281-2287. (in Chinese with an English abstract)

    ［4］宋娟, 李云松, 吴成柯. 基于分层树集合分割的分布式干涉多光谱图像压缩［J］. 光学学报, 2010, 30(2): 358-363.

    SONG Juan, LI Yun-song, WU Cheng-ke. Compression for distributed interferential multispectral image based on set partitioning in hierarchical trees［J］. Acta Optica Sinica, 2010, 30(2): 358-363. (in Chinese with an English abstract)

    ［5］董瑛, 相里斌, 赵葆常. 大孔径静态干涉成像光谱仪的干涉系统分析［J］. 光学学报, 2001, 21 (3): 330-334.

    DONG Ying, XIANGLI Bin, ZHAO Bao-chang. Analysis of interferometer system in a large aperture static imaging spectrometer［J］. Acta Optica Sinica, 2001, 21(3): 330-334. (in Chinese with an English abstract)

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    ［7］PARK K H, CHUL S L, HYUU W P. A multiresolutional coding method based on SPIHT ［J］. Signal Processing: Image Communication, 2002, 17: 467-476.

    ［8］SAID A, PEARLMAN W A, A new, fast, and efficient image codec based on set partitioning in hierarchical trees ［J］. IEEE Transactions on Circuits and Systems for Video Technology, 1996,6(3):243-250.

    ［9］LIN W K, BURGESS N. Low memory color image zerotree coding［J］. Info. Decision and Controls, 1999(2): 91-95.
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  • 刊出日期:  2011-05-14

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