Dyadic wavelet-based nonlinear conduction equation: Theory and applications

C. J.A. Sze, H. Y.M. Liao*, Shih-Kun Huang, C. S. Lu

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review


In this paper, we proposed a new dyadic wavelet-based conduction approach to take place the nonlinear diffusion equation for selective image smoothing. We also proved that the proposed iterated system always satisfies the so-called maximum-minimum principle [1, 2] no matter what kind of wavelet basis is used. Since the proposed approach does not require to solve a PDE, it is therefore more efficient and accurate than the conventional nonlinear diffusion/conduction-based methods. Experimental results using 1-D synthetic data and a real image demonstrated that the proposed method can efficiently remove noises and preserve real data.

Original languageEnglish
Number of pages4
StatePublished - 1 Dec 2000
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: 10 Sep 200013 Sep 2000


ConferenceInternational Conference on Image Processing (ICIP 2000)
CityVancouver, BC

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