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Proceedings Paper

Application of (alpha,beta)-trimmed mean filtering for removal of additive noise from images
Author(s): Yuri B. Rytsar; Iryna B. Ivasenko
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Paper Abstract

This paper is concerned with algorithms for removal additive noise from images. The proposed ((alpha) -(beta) )-trimmed mean filtering is suitable for application to real images corrupted by Gaussian, uniform and impulsive noise. The developed technique is a generalization of (alpha) -trimmed mean filter and have the same basic properties as rank- order filters. The actual performance of proposed technique was compared with that of average, median and midpoint filters and evaluate on noisy images by the error of restoration. The illustrative examples are given.

Paper Details

Date Published: 20 October 1997
PDF: 8 pages
Proc. SPIE 3238, Current Ukrainian Research in Optics and Photonics: Optoelectronic and Hybrid Optical/Digital Systems for Image Processing, (20 October 1997); doi: 10.1117/12.284817
Show Author Affiliations
Yuri B. Rytsar, Institute of Physics and Mechanics (Ukraine)
Iryna B. Ivasenko, Institute of Physics and Mechanics (Ukraine)


Published in SPIE Proceedings Vol. 3238:
Current Ukrainian Research in Optics and Photonics: Optoelectronic and Hybrid Optical/Digital Systems for Image Processing
Simon B. Gurevich; Roman S. Batchevsky; Leonid I. Muravsky, Editor(s)

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