Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Noise-free Distributions Comparison of Bayesian Wavelet Threshold for Image Denoise

  • Choi, Ilsu (Department of Applied Mathematics, Yosu National University) ;
  • Rhee, Sung-Suk (Department of Business Administration, Seowon University) ;
  • Ahn, Yunkee (Department of Applied Statistics, Yonsei University)
  • Published : 2001.08.01
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Abstract

Wavelet thresholding is a method for he reduction of noise in image. Wavelet coefficients of image are correlated in local characterization. Thee correlations also appear in he original pixel representation of the image, and they do not follow from the characterizations of the wavelet transform. In this paper, we compare noise-free distributions of Bayes approach to improve the classical threshold algorithm.

Keywords

References

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