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Proceedings Paper

Rank filters with adaptive length
Author(s): Takis Kasparis; Qurban A. Memon; Revathi Koteeswaran
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Paper Abstract

In this paper rank filters of adaptive length are presented. The filtering objective of these filters is the suppression of impulsive noise while preserving as much image detail as possible, and also high computational efficiency. In the proposed scheme the window size and shape are adaptively adjusted based on the amount of impulsive noise in an initial starting window. Using smaller windows increases the computational efficiency. To further improve the computational efficiency, median data blocks are used. The loss of image detail is prevented by an adaptive algorithm. Filtering examples demonstrating noise suppression, detail preservation, and computational efficiency are presented.

Paper Details

Date Published: 24 June 1994
PDF: 11 pages
Proc. SPIE 2239, Visual Information Processing III, (24 June 1994); doi: 10.1117/12.179291
Show Author Affiliations
Takis Kasparis, Univ. of Central Florida (United States)
Qurban A. Memon, Univ. of Central Florida (United States)
Revathi Koteeswaran, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 2239:
Visual Information Processing III
Friedrich O. Huck; Richard D. Juday, Editor(s)

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