Journal of Jilin University Science Edition

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Image Denoising Algorithm Based on Wavelet PacketTransform and Total Variation Model

ZUO Ping1, WANG Yang2,3, SHEN Yan-cheng1   

  1. 1. Department of Foundation, Aviation University of Air Force, Changchun 130022, China;2. College of Computer Science and Technology, Jilin University, Changchun 130012, China;3. Public Computer Teaching and Research Center, Jilin University, Changchun 130012, China
  • Received:2013-01-19 Online:2014-01-26 Published:2014-03-05
  • Contact: WANG Yang E-mail:wyangjlu@mail.jlu.edu.cn

Abstract:

Authors proposed an effcient image denoising method based on the combination of wavelet packet transform with  total variation model and presented
how to select the regularization parameter in this model. The combination of wavelet packet transform with total variation model helps to alleviate staircase effect efficiently and  preserve sharp discontinuities in images as well. The numerical experimental results show that the new method is effective in removing Gaussian noise and keep the detail of the image  well.

Key words:  image processing, image denoising, total variation model, wavelet packet transform

CLC Number: 

  • TP391