• DocumentCode
    3276636
  • Title

    Wavelet Image Interpolation Using Approximate Modeling of Exponential Decay

  • Author

    Kim, Sang Soo ; Eom, IL Kyu ; Kim, Yoo Shin

  • Author_Institution
    Dept. of Electron. Eng., Pusan Nat. Univ.
  • fYear
    2006
  • fDate
    3-6 Oct. 2006
  • Firstpage
    360
  • Lastpage
    363
  • Abstract
    Image interpolation in the wavelet domain is the estimation problem of the highest frequency subbands. The exponential function can approximate the decay of wavelet coefficients across scales. If we can determine a proper decaying model, the magnitudes of detail coefficients will be predictable. In this paper, we exploit a simple exponential model with meta-parameters which reflects the self-similarity of natural images. The experimental results show that the proposed method outperforms the previous wavelet-domain interpolation methods as well as the conventional bicubic method
  • Keywords
    approximation theory; image resolution; wavelet transforms; approximate modeling; exponential decay; wavelet image interpolation; Frequency estimation; Image edge detection; Interpolation; Low pass filters; Nonlinear filters; Predictive models; Spatial resolution; Wavelet coefficients; Wavelet domain; Wavelet transforms; Liptschitz regularity; image interpolation; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2006 IEEE 8th Workshop on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-9751-7
  • Electronic_ISBN
    0-7803-9752-5
  • Type

    conf

  • DOI
    10.1109/MMSP.2006.285330
  • Filename
    4064580