• DocumentCode
    2227760
  • Title

    Image magnification by using spectrum extrapolation

  • Author

    Aoyama, Koji ; Ishii, Rokuya

  • Author_Institution
    Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan
  • fYear
    1993
  • fDate
    15-19 Nov 1993
  • Firstpage
    2266
  • Abstract
    Presents a new image magnification algorithm that produces high frequency components of the spectrum of an image. To estimate high frequency components, the authors investigate the iterative algorithm of Gerchberg-Papoulis with various extrapolation methods. The authors apply this algorithm to digital images. In the application of this algorithm, there is one problem that greatly affects its efficiency. The authors propose two techniques to overcome this problem. Using these techniques, the authors can obtain magnified images with higher quality
  • Keywords
    extrapolation; image processing; iterative methods; Gerchberg-Papoulis algorithm; digital images; extrapolation methods; high frequency components; image magnification; spectrum extrapolation; Digital images; Discrete Fourier transforms; Extrapolation; Filtering; Frequency conversion; Frequency estimation; Image resolution; Image restoration; Iterative algorithms; Signal restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
  • Conference_Location
    Maui, HI
  • Print_ISBN
    0-7803-0891-3
  • Type

    conf

  • DOI
    10.1109/IECON.1993.339430
  • Filename
    339430