Optimised directional distance filter

• Autorzy: Lukac R.
• Języki publikacji: EN

Abstrakty

EN

In this paper, a new adaptive directional distance filter especially for the impulse noise suppression in color images is provided. The proposed method takes advantage from the optimal filtering situation when only the affected samples are estimated, whereas noisy image points are passed to a filter output without change. For that reason, the proposed method is based on switching between the indentity filter (no smoothing) and the directional distance filter that provides a maximum amount of the smoothing. In order to achieve the most precise control of the proposed method, three center-weighted directional distance filters are utilised to determine a parameter compared with a threshold value. This simple comparison serves as a switching control. After the optimisation of the threshold, it will be shown that the proposed method achieves a significant improvement of the filter performance in comparison with standard vector filter classes for a wide range of impulse noise corruption.

Słowa kluczowe

EN

color images; vector order-statistics; distance function; weight vector; adaptive filter

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2002
• Tom: Vol. 11, No. 2/3
• Strony: 311--326
• Opis fizyczny: Bibliogr. 19 poz.

Twórcy

autor

Lukac R.

• Department of Electronics and Multimedia Communications, Technical University of Kosice, Park Komenskeho 13, 041 20 Kosice, Slovak Republic,

Bibliografia

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