• DocumentCode
    3519179
  • Title

    Fast Multi-spectral Image Coding Algorithm Based on Fractal

  • Author

    Lei Zhu ; Jing Yang

  • Author_Institution
    Coll. of Autom., Chongqing Univ., Chongqing, China
  • fYear
    2010
  • fDate
    28-29 Oct. 2010
  • Firstpage
    446
  • Lastpage
    449
  • Abstract
    It is need to carry on the compression to the remote sensing image for the speedy transmission and the effective memory remote sensing image. The multi-spectrum remote sensing image has the very strong relevance among spectrums. In multi-wave band image compression, to eliminate the spectrum relevance, both must consider to eliminate the statistical dependence, and to eliminate the structure relevance. According to the multi-wave band remote sensing image´s characteristic, this article proposed that one kind of four fork tree piecemeal, the match information pre-stores and first searches the match the fast fractal encoding method. Proved through algorithm realization and the experiment, this article proposed the method to enhance multi-spectrum remote sensing image the compression ratio, the reduction time of compression to have certain function.
  • Keywords
    data compression; fractals; image coding; remote sensing; search problems; fractal encoding; multispectral image coding; multiwave band image compression; remote sensing; Decoding; Fractals; Image coding; Pixel; Redundancy; Remote sensing; Fractal; Image compression; Multi-spectral image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence Information Processing and Trusted Computing (IPTC), 2010 International Symposium on
  • Conference_Location
    Huanggang
  • Print_ISBN
    978-1-4244-8148-4
  • Electronic_ISBN
    978-0-7695-4196-9
  • Type

    conf

  • DOI
    10.1109/IPTC.2010.115
  • Filename
    5663414