IWVF 2001: Visual Form 2001 pp 205-215 | Cite as

An Adaptive Image Interpolation Using the Quadratic Spline Interpolator

  • Hyo-Ju Kim
  • Chang-Sung Jeong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2059)

Abstract

In this paper we propose a novel image interpolation algorithm based on the quadratic B-spline basis function. Our interpolation algorithm preserves the original edges while not destroying the smoothness in flat area using the adaptive interpolation method according to the directional edge pattern of input image, significantly improving the overall performance of the interpolation. Our experimental result shows that it can produce higher quality and resolution than the currently existing image interpolation methods.

Keywords

Interpolation Method Text Image Interpolation Algorithm Sinc Function Image Interpolation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    J. S. Lim, Two-Dimensional Signal and Image Processing, Prentice-hall, pp. 495–497,1990Google Scholar
  2. 2.
    J. K. Paik and S. W. Park, “A Real Time Image Interpolation For Digital Zooming. ” Proc. 1st Korea-Japan Joint Conf. Computer Vision, pp.–322, Seoul, Korea, October 1991.Google Scholar
  3. 3.
    M. Unser, A. Aldroubi and M. Eden,“Fast B-spline Transforms for Continuous Image Representation and Interpolation”,IEEE Trans. Patt. Anal. Machine Intell., vol.13, no.3, pp.277–285, March 1991.CrossRefGoogle Scholar
  4. 4.
    K. Toraichi, “A Quadratic Spline Function Generator”, IEEE Trans. On ASSP, vol.37, no.4, April 1989Google Scholar
  5. 5.
    H.S. Hou and H.C. Andrews, “Cubic splines for image interpolation and digital filtering.” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-26, no. 6, pp.508–517, 1978.Google Scholar
  6. 6.
    R. G. Keys, “Cubic convolution interpolation for digital image processing”, IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-29, no. 6, pp.1153–1160, 1981.CrossRefMathSciNetGoogle Scholar
  7. 7.
    N. A. Dodgson, “Quadratic interpolation for image resampling”, IEEE Trans. Image Processing, vol.6, pp.1322–1326, 1997.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Hyo-Ju Kim
    • 1
  • Chang-Sung Jeong
    • 1
  1. 1.Department of Electronics EngineeringKorea UniversitySungbuk-kuKorea

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