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Proceedings Paper

Adaptive multichannel filters for color image processing
Author(s): Konstantinos N. Plataniotis; Dimitrios Androutsos; Anastasios N. Venetsanopoulos
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Paper Abstract

A new family of adaptive nonlinear filters that use fuzzy membership functions based on different distance measures is proposed for color image processing. The proposed filters constitute a fuzzy generalization of well known multichannel filters. The principle behind the new filters is explained and comparisons with other nonlinear filters are provided. Color images corrupted with different types of noise are used to assess the performance of the proposed filters. Simulation results indicate that the new filters offer some flexibility and have excellent performance.

Paper Details

Date Published: 27 February 1996
PDF: 10 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233199
Show Author Affiliations
Konstantinos N. Plataniotis, Univ. of Toronto (Canada)
Dimitrios Androutsos, Univ. of Toronto (Canada)
Anastasios N. Venetsanopoulos, Univ. of Toronto (Canada)

Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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