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Proceedings Paper

Wavelet transform-based filtering for the enhancement of dim targets in FLIR images
Author(s): Dennis J. Gregoris; Simon K.W. Yu; Steve Tritchew; Leandre Sevigny
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Paper Abstract

This paper describes a new wavelet-transform-based nonlinear spatial filter called the scale subtraction filter (SSF). The SSF enhances dim target signals relative to clutter in forward- looking infrared (FLIR) imagery using the scale characteristics of the target. The SSF was applied to a database of FLIR image sequences representing different target, sensor, and background clutter scenarios. Detection performance was quantified in terms of the receiver operating characteristics (ROC) for all sequences. The detection performance of the new algorithm was compared to the Holmes double-grated filter method and was found to be equivalent or significantly better depending on the image sequence.

Paper Details

Date Published: 15 March 1994
PDF: 11 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170058
Show Author Affiliations
Dennis J. Gregoris, SPAR Aerospace Ltd. (Canada)
Simon K.W. Yu, SPAR Aerospace Ltd. (Canada)
Steve Tritchew, SPAR Aerospace Ltd. (Canada)
Leandre Sevigny, Defence Research Establishment Valcartier (Canada)


Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

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