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On piecewise-quadratic filter for Gaussian noisy image filtering

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3 Author(s)
Li, W. ; Lehrstuhl fur Allgemeine und Theor. Elektrotech., Erlangen-Nurnberg Univ., Germany ; Lin, J.-N. ; Unbehauen, R.

Image classification according to features or a statistical property relates often to a partition of the image domain space. Such a partition concept used in image filtering suggests that a nonlinear filter with a piecewise property is a suitable candidate. In this paper, we propose a novel kind of nonlinear filter, the piecewise-quadratic (PWQ) filter for Gaussian noisy image filtering, which utilizes the domain partition property in the filter function for various image features. We show that after a proper training of the filter function, such a filter has a good noise smoothing as well as an effective edge/detail-preserving property. Simulations are carried out for natural images and two examples are given for showing the performance of the proposed filter

Published in:

Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on  (Volume:4 )

Date of Conference:

31 May-3 Jun 1998