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Proceedings Paper

Line preserving adaptive median filtering
Author(s): Takis Kasparis; Arthur Robert Weeks; Revathi Koteeswaran
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Paper Abstract

A new form of adaptive median filtering that suppresses impulsive noise while preserving image detail and thin lines is presented. This is accomplished by first generating a binary mask of the image which is subsequently used to drive the type of filtering within the filter windows. The decisions used are either 2-D or directional 1-D median filtering, depending on line structure information from the binary mask. Filtering along the direction of a line preserves the line and suppresses impulsive noise. Experimental results with a real image demonstrate the performance of the algorithm.

Paper Details

Date Published: 21 September 1994
PDF: 11 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186546
Show Author Affiliations
Takis Kasparis, Univ. of Central Florida (United States)
Arthur Robert Weeks, Univ. of Central Florida (United States)
Revathi Koteeswaran, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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