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Proceedings Paper

Adaptive vector LQ filter for color image processing
Author(s): Andrei A. Kurekin; Vladimir V. Lukin; Alexander A. Zelensky; Jaakko T. Astola; Pauli Kuosmanen; Kari P. Saarinen
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Paper Abstract

Robust adaptive vector filtering algorithms applicable to color and multichannel image processing are proposed. They are based on the use of Q-parameter that is a vector analog of quasirange. Considered algorithms have a good combination of properties: effective noise reduction, ability to remove spikes, edge and detail preservation, and low computational complexity. Their characteristics are evaluated quantitatively and compared to non-adaptive counterparts. Advantages of proposed algorithms are also demonstrated by simulated image processing results.

Paper Details

Date Published: 14 October 1997
PDF: 12 pages
Proc. SPIE 3167, Statistical and Stochastic Methods in Image Processing II, (14 October 1997); doi: 10.1117/12.279649
Show Author Affiliations
Andrei A. Kurekin, Kharkov Aviation Institute (Ukraine)
Vladimir V. Lukin, Kharkov Aviation Institute (Ukraine)
Alexander A. Zelensky, Kharkov Aviation Institute (Ukraine)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)
Pauli Kuosmanen, Tampere Univ. of Technology (Finland)
Kari P. Saarinen, Tampere Technology Ctr. Hermia (Finland)

Published in SPIE Proceedings Vol. 3167:
Statistical and Stochastic Methods in Image Processing II
Francoise J. Preteux; Jennifer L. Davidson; Edward R. Dougherty, Editor(s)

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