Wavelet transform-based filtering for the enhancement of dim targets in FLIR images

Dennis J. Gregoris; Simon K.W. Yu; Steve Tritchew; Leandre Sevigny

doi:10.1117/12.170058

15 March 1994 Wavelet transform-based filtering for the enhancement of dim targets in FLIR images

Dennis J. Gregoris, Simon K.W. Yu, Steve Tritchew, Leandre Sevigny

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170058
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Dennis J. Gregoris, Simon K.W. Yu, Steve Tritchew, and Leandre Sevigny "Wavelet transform-based filtering for the enhancement of dim targets in FLIR images", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170058

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