红外技术, 2018, 40 (7): 642, 网络出版: 2018-08-04  

基于矢量量化与线性预测的干涉图分段无损压缩

Segmented Lossless Compression Method of Interferogram Based on Vector Quantization and Linear Prediction
作者单位
1 中国科学院大学,北京 100049
2 中科院上海技术物理研究所中国科学院红外探测与成像技术重点实验室,上海 200083
摘要
经计算证明了风云四号气象卫星上的干涉仪所采集的三维数据立方体在时间维上更容易取得高无损压缩比,于是决定以时间维上的单帧干涉数据为单位进行无损压缩的探索。结合干涉数据在时间维上的相关性特点,提出一种新的无损压缩算法。该算法根据干涉数据的各段特点,分别进行矢量量化和线性预测以此来进行压缩,采用MATLAB 对实际采集数据进行仿真试验后可得,新方法最终取得的无损压缩比比直接进行Huffman 编码所得的压缩比提高了10%~20%。
Abstract
The three-dimensional data cube collected by an interferometer on the FY-4 was analyzed, and we concluded that a high compression ratio can be more easily achieved in the time dimension; therefore, we studied the lossless compression on the single-frame interferogram of time dimension. A new lossless compression algorithm was proposed based on the interferogram characteristics. According to the characteristics, the interferogram was segmented, and vector quantization and linear prediction were respectively used for compression. Finally, the results simulated in Matlab show that a 10% to 20% higher compression ratio can be achieved by the new algorithm than an algorithm directly encoded by Huffman.
参考文献

[1] 张淳民.干涉成像光谱技术[M].北京:科学出版社,2010.

    ZHANG Chunmin. Interference Imaging Spectroscopy[M]. Beijing: Science Press, 2010.

[2] 邹曜璞.星载傅里叶光谱仪星上数据处理研究[D].上海:中国科学院上海技术物理研究所,2016.

    ZOU Yaopu. Research of on-board data processing techniques for Fourier Transform Spectrometer[D]. Shanghai: Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, 2016.

[3] 张磊.红外傅立叶光谱仪信息处理技术研究[D].上海:中国科学院上海技术物理研究所,2017.

    ZHANG Lei. Research of the Infrared Fourier Spectrometer Information Processing Technology[D]. Shanghai: Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, 2017.

[4] 周世椿.高级红外光电工程导论[M].北京:科学出版社,2014.

    ZHOU Shichun. Introduction To Advanced Infrared Photoelectric Engineering[M]. Beijing: Science Press, 2014.

[5] 景娟娟,相里斌,吕群波,等.干涉光谱数据处理技术研究进展[J].光谱学与光谱分析,2011,31(4):865-870.DOI:10.3964/j.issn.1000-0593(2011)04-0865-06.

    JING Juanjuan, XIANG libin, LV Qunbo. Advance in Interferogram Data Processing Technique[J]. Spectroscopy and Spectral Analysis, 2011, 31(4): 865-870. DOI: 10.3964/j.issn.1000-0593(2011)04-0865-06.

[6] Khalid Sayood. Introduction to Data Compression[M]. Fourth Ed. Elsevier, 2012.

[7] 杜述松,袁艳,相里斌,等.干涉光谱图像序列压缩的实验研究[J].光子学报,2007,36(9):1672-1676.

    DU Shusong, YUAN Yan, XIANG Libin, et al. Experimental Study on Interference Spectral Image Series Compression[J]. Acta Photonica Sinica, 2007, 36(9): 1672-1676.

[8] HUANG B, WEI S C, HUANG H L, et al. Lossless compression of the geostationary imaging Fourier transform spectrometer (GIFTS) data via predictive partitioned vector quantization[C]//Satellite Data Compression, Communications, and Archiving III. International Society for Optics and Photonics, 2007: 801-803.

[9] Bormin Huang. Satellite Data Compression[M]. New York: Springer, 2011.

[10] 赵春晖,陈万海,张凌雁.一种基于矢量量化的高光谱遥感图像压缩算法[J].哈尔滨工程大学学报,2006,27(3):447-452.DOI:10.3969/j.issn.1006-7043.2006.03.028.

    ZHAO Chunhui, CHEN Wanhai, ZHANG Lingyan. A compression algorithm of hyperspectral remote sensing image based on vector quantization[J]. Journal of Harbin Engineering University, 2006, 27(3): 447-452. DOI: 10.3969/j.issn.1006-7043.2006.03.028.

[11] 李媛媛,景文博,刘学,等.基于混合预测高光谱图像无损压缩[J].长春理工大学学报:自然科学版,2016(1):77-81.DOI:10.3969/j.issn.1672-9870.2016.01.017.

    LI Yuanyuan, JING Wenbo, LIU Xue, et al. Lossless Compression of Hyperspectral Images Using Hybrid Prediction[J]. Journal of Changchun University of Science and Technology, 2016(1): 77-81. DOI: 10.3969/j.issn.1672-9870.2016.01.017.

[12] 李媛媛.陆地遥感卫星高光谱图像无损压缩研究[D].长春:长春理工大学,2016.

    LI Yuanyuan. Research on lossless compression of hyperspectral image of land remote sensing satellite[D]. Changchun: Changchun University of Science and Technology, 2016.

[13] 孙蕾,罗建书.基于最佳线性预测器的高光谱图像无损压缩算法[J].遥感信息,2005(6):7-9.DOI:10.3969/j.issn.1000-3177.2005.06.002.

    SUN Lei, LUO Jianshu. Hyperspectral Image Lossless Compression Based on Optimal Linear Predictor[J]. Remote Sensing Information, 2005(6): 7-9. DOI: 10.3969/j.issn.1000-3177.2005.06.002.

[14] 武凤翔,廉东方.线性预测系数压缩的研究[J].河南城建学院学报,2011,20(2):52-54.DOI:10.3969/j.issn.1674-7046.2011.02.014.

    WU Fengxiang, LIAN Dongfang. A method of LPC coefficients compression[J]. Journal of Pingdingshan Institute of Technology, 2011, 20(2): 52-54. DOI: 10.3969/j.issn.1674-7046.2011.02.014.

[15] 周菲菲,张晶晶,罗晓玲.图像压缩中算术编码器的比较研究[J].现代计算机,2016(13):22-26.DOI:10.3969/j.issn.1007-1423.2016.13.006

    ZHOU Feifei, ZHANG Jingjing, LUO Xiaoling. Comparative Study of Arithmetic Encoder in Image Compression[J]. Modern Computer, 2016(13): 22-26. DOI: 10.3969/j.issn.1007-1423.2016.13.006.

[16] 高敏.视频图像压缩中熵编码技术研究[D].哈尔滨:哈尔滨工业大学,2016.

    GAO Min. Research on entropy coding for video and image compression[D]. Harbin: Harbin Institute of Technology, 2016.

[17] 胡广书.数字信号处理[M].北京:清华大学出版社,1997.

    HU Guangshu. Digital Signal Processing[M]. Beijing: Tsinghua Press, 1997.

杨敏珠, 邹曜璞, 韩昌佩. 基于矢量量化与线性预测的干涉图分段无损压缩[J]. 红外技术, 2018, 40(7): 642. YANG Minzhu, ZOU Yaopu, HAN Changpei. Segmented Lossless Compression Method of Interferogram Based on Vector Quantization and Linear Prediction[J]. Infrared Technology, 2018, 40(7): 642.

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