International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Study on Fuzzy Wavelet Basis Function for Image Interpolation

  • Byun, Oh-Sung (Dept. Electrical Electronic and Information Engineering, Wonkwang University) ;
  • Moon, Sung-Ryong (Dept. Electrical Electronic and Information Engineering, Wonkwang University)
  • Published : 2004.12.01
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Abstract

The image interpolation is one of an image preprocessing process to heighten a resolution. The conventional image interpolation used much to concept that it put in other pixel to select the nearest value in a pixel simply, and use much the temporal object interpolation techniques to do the image interpolation by detecting motion in a moving picture presently. In this paper, it is proposed the image interpolation techniques using the fuzzy wavelet base function. This is applied to embody a correct edge image and a natural image when expand part of the still image by applying the fuzzy wavelet base function coefficient to the conventional B-spline function. And the proposal algorithm in this paper is confirmed to improve about 1.2831 than the image applying the conventional B-spline function through the computer simulation.

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References

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