• DocumentCode
    292358
  • Title

    Predictive interpolation of remote sensing images using vector quantization

  • Author

    Takehana, Shinji ; Kashimura, M. ; Ozawa, Shinji

  • Author_Institution
    Dept. of Electr. Eng., Keio Univ., Kanagawa, Japan
  • Volume
    1
  • fYear
    1993
  • fDate
    19-21 May 1993
  • Firstpage
    51
  • Abstract
    The authors propose a predictive interpolation method which can predict the intensity of a center unknown pixel solely from intensities of its adjacent known pixels. They obtain a smooth and reasonable high-resolution image from a low-resolution image and consider the appropriateness of the application of vector quantization to prediction in this study
  • Keywords
    image resolution; interpolation; prediction theory; remote sensing; vector quantisation; high-resolution image; predictive interpolation method; remote sensing images; vector quantization; Convolution; Image coding; Interpolation; Knowledge management; Lattices; Management training; Merging; Pixel; Remote sensing; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing, 1993., IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0971-5
  • Type

    conf

  • DOI
    10.1109/PACRIM.1993.407222
  • Filename
    407222
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=292358