• DocumentCode
    3313272
  • Title

    Study on JPEG2000 Optimized Compression Algorithm for Remote Sensing Image

  • Author

    Liang, Lu ; Shujun, Deng

  • Author_Institution
    Sci. Inst., Inf. Eng. Univ., Zhengzhou
  • Volume
    2
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    771
  • Lastpage
    775
  • Abstract
    Because of the higher resolution, the data volume of remote sensing image is very large. To communicate and use them on network, efficient compression is very important. Based on the frame of conventional JPEG2000 compression, this paper puts forward a kind of modified compression algorithm aiming at characteristics that the correlation of remote sensing image is lower than common images. The core of modified algorithm includes two aspects: one aspect is to eliminate and segment treatment the unimportant background information of wavelet coefficient in high frequency sub-bands after wavelet transformations; the other aspect is to combine the scanning process of coding passes in EBCOT coding. The experiment proves that this optimal algorithm can significantly improve the compression ratio of remote sensing image hardly influencing the quality of remote sensing image and shorten the compression time of remote sensing image.
  • Keywords
    block codes; correlation methods; data compression; geophysical signal processing; image coding; image resolution; remote sensing; wavelet transforms; EBCOT coding; JPEG2000 optimized compression algorithm; correlation method; image resolution; remote sensing image; scanning process; wavelet coefficient; wavelet transformation; Compression algorithms; Discrete wavelet transforms; Filters; Frequency; Image coding; Image resolution; Quantization; Remote sensing; Space technology; Transform coding; DWT; EBCOT; JPEG2000; remote sensing image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-4223-2
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2009.203
  • Filename
    4908583