• DocumentCode
    2261032
  • Title

    Aerial Remote Sensing Image Compression Based on Modified CDF97 Lifting Scheme

  • Author

    Sui, Xinxin ; QIN, Qiming ; Jin, Chuan ; Sun, Yumei

  • Author_Institution
    Inst. of Remote Sensing & GIS, Peking Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    648
  • Lastpage
    652
  • Abstract
    In this paper, lifting scheme is adopted for aerial image compression and modified CDF97 (MCDF97) wavelet is put forward as wavelet kernel. MCDF97 lifting algorithm improves defect that five lifting coefficients of CDF97 wavelet are all irrational numbers. The compression performance of MCDF97 wavelet is almost the same as that of the CDF97 wavelet, but the algorithm based on MCDF97 wavelet reduces operation memory, decreases complexity and accelerates the processing speed. After wavelet transform of aerial images, set partitioning in hierarchical trees (SPIHT) coding is adopted to quantize and code the wavelet coefficients. Experimental results indicate that this compression algorithm greatly improves compression efficiency of aerial images, and meets the requirement of aerial compression system for storage, operation time and hardware implement.
  • Keywords
    data compression; image coding; remote sensing; trees (mathematics); wavelet transforms; MCDF97 wavelet; aerial remote sensing image compression; modified CDF97 lifting scheme; operation memory; set partitioning in hierarchical trees; Acceleration; Compression algorithms; Hardware; Image coding; Image storage; Kernel; Partitioning algorithms; Remote sensing; Wavelet coefficients; Wavelet transforms; MCDF97 wavelet; SPIHT coding; aerial remote sensing platform; remote sensing image compression; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.179
  • Filename
    4739652