A novel image enhancement approach based on wavelet transformation

  • Authors:

  • Jian-Nan Chi;Chuang Zhang;Yan-Jun Qin;Cui-Juan Wang

  • Affiliations:

  • Information Engineering School, University of Science and Technology Beijing, Beijing, China;Information Engineering School, University of Science and Technology Beijing, Beijing, China;Information Engineering School, University of Science and Technology Beijing, Beijing, China;Information Engineering School, University of Science and Technology Beijing, Beijing, China

  • Venue:
  • CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
  • Year:
  • 2009

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Abstract

In this paper, a novel approach of image enhancement based on anti-symmetrical biorthogonal wavelet reconstruction is put forward. Firstly multi-scale decomposition of wavelet of image is done. Then module value and phasic angle image are achieved through half-reconstruction, by which edge images of different scale are extracted. And multi-scale wavelet coefficients of detailed component image corresponding to multi-scale image edge pixels are enhanced. Finally following reconstruction is done and image is enhanced. In the approach presented image edges are enhanced, which is implemented in wavelet tower data. Experimental results show the validity of the approach.