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.
|Number of pages||4|
|State||Published - 1 Dec 2000|
|Event||International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada|
Duration: 10 Sep 2000 → 13 Sep 2000
|Conference||International Conference on Image Processing (ICIP 2000)|
|Period||10/09/00 → 13/09/00|