Wavelet transforms of cluttered images and their application to computing the probability of detection

Thomas J. Meitzler; Robert E. Karlsen; Grant R. Gerhart; Eui Jung Sohn; Harpreet Singh

doi:10.1117/1.600987

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1 October 1996 Wavelet transforms of cluttered images and their application to computing the probability of detection

Thomas J. Meitzler, Robert E. Karlsen, Grant R. Gerhart, Eui Jung Sohn, Harpreet Singh

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Optical Engineering, 35(10), (1996). https://doi.org/10.1117/1.600987

Wavelet transforms are currently being used for a number of applications such as cue feature and noise extraction from images and acoustic signals. This work describes and applies an algorithm that uses wavelets for finding the clutter in infrared (IR) and visual images. Once the clutter is found, the probability of detection (Pd) is calculated. Tidhar’s and Rotman’s probability of edge metric (POE) is extended to encompass the wavelet methodology for multiscale clutter metrics in IR images.

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Thomas J. Meitzler, Robert E. Karlsen, Grant R. Gerhart, Eui Jung Sohn, and Harpreet Singh "Wavelet transforms of cluttered images and their application to computing the probability of detection," Optical Engineering 35(10), (1 October 1996). https://doi.org/10.1117/1.600987

Published: 1 October 1996

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