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An efficient vector ranking filter for colour image restoration

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2 Author(s)
Masoomzadeh-Fard, A. ; Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada ; Venetsanopoulos, A.N.

An efficient ranked-order filter is proposed for removing the additive noise from colour images. In the approach presented here, vector ranking reduces to ordering vectors according to their distance to a centroid criterion, such as the sample mean. This technique significantly reduces the computational burden. Using this vector ranking scheme, α-trimmed mean filtering is considered. It can suppress both impulsive and Gaussian noise better than the median filter. A significant reduction in the complexity compared to the regular vector α-trimmed mean filtering is shown. A number of simulations were performed in order to quantitatively evaluate its performance. These simulations involve the estimation of colour images in additive short tailed and long tailed noise

Published in:

Electrical and Computer Engineering, 1993. Canadian Conference on

Date of Conference:

14-17 Sep 1993