Abstract
In this paper, we propose a structure of a two-dimensional adaptive digital filter for cancellation of white Gaussian noise in images and edge preservation. This structure is composed by three parts. We use a two-dimensional filtering algorithm to avoid disturbance due to one-dimensional filtering, a neural network to update the filter coefficients, and a variable-size filtering window to preserve edges. Experimental results show that a filter with the proposed two-dimensional structure cancels the white Gaussian noise and preserves the edges of the image better than those filters based on a one-dimensional filtering algorithm or one that does not consider the edges.
Original language | English |
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Pages | III61-III64 |
Publication status | Published - 2002 Dec 1 |
Event | 2002 45th Midwest Symposium on Circuits and Systems - Tulsa, OK, United States Duration: 2002 Aug 4 → 2002 Aug 7 |
Other
Other | 2002 45th Midwest Symposium on Circuits and Systems |
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Country/Territory | United States |
City | Tulsa, OK |
Period | 02/8/4 → 02/8/7 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering