• DocumentCode
    3274244
  • Title

    An algorithm to magnify images

  • Author

    Yamada, Tohru ; Ishii, Rokuya

  • Author_Institution
    Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan
  • fYear
    1996
  • fDate
    2-6 Dec 1996
  • Firstpage
    674
  • Lastpage
    677
  • Abstract
    In this paper, we present a new algorithm to magnify images. Using this algorithm, we can prevent deterioration of image quality when images are magnified. Image details can not be obtained by conventional interpolation method. Therefore, we obtain polynomial approximation of amplitude of low frequency parts, and we expand the approximated curve to high frequency parts. These high frequency components are used as high frequency spectrum. When the amplitude is changed, the phase is also changed because amplitude and phase are not independent of each other. So, phase is changed by this extrapolation process. We propose an algorithm to correct the phase by using Hilbert transform. We apply this algorithm to magnify digital images. Using these techniques, we can obtain higher quality magnified images
  • Keywords
    Hilbert transforms; approximation theory; extrapolation; image enhancement; polynomials; Hilbert transform; digital images; extrapolation; image magnification; image quality deterioration prevention; low frequency part amplitude; polynomial approximation; Digital images; Discrete Fourier transforms; Extrapolation; Frequency; Image quality; Image sampling; Interpolation; Polynomials; Sampling methods; Zinc;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-3104-4
  • Type

    conf

  • DOI
    10.1109/ICIT.1996.601678
  • Filename
    601678