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Proceedings Paper

Suppression of speckles in color images
Author(s): Joe Zheng; Kimon P. Valavanis; John M. Gauch
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Paper Abstract

Color images, just like the formation of gray images, are put through a series of noise- contaminating processes. To obtain reliable results in subsequent image analysis, the noise- suppressing problems in original data must be considered and the signal distortions must be minimized. Generally, noise is suppressed individually in each data channel. In this paper, we first illustrate that this technique generally can not produce optimum results and may even introduce unpredictable color spots (artifacts). In order to preserve color appearance and meanwhile not to smear out objects' boundaries, two algorithms using median type operations are then introduced; one is the scalar median filter and the other one is the vector median filter. Experiments and comparisons of both schemes are included.

Paper Details

Date Published: 1 March 1992
PDF: 11 pages
Proc. SPIE 1615, Machine Vision Architectures, Integration, and Applications, (1 March 1992); doi: 10.1117/12.58814
Show Author Affiliations
Joe Zheng, United Parcel Service (United States)
Kimon P. Valavanis, Univ. of Southwestern Louisiana (United States)
John M. Gauch, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 1615:
Machine Vision Architectures, Integration, and Applications
Bruce G. Batchelor; Michael J. W. Chen; Frederick M. Waltz, Editor(s)

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