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18 October 1999 Evaluating the effect of histogram modeling enhancement on human detection of targets embedded in infrared images
Guy Aviram, Stanley R. Rotman
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Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365849
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States
Abstract
Image enhancement has, in general, a substantial effect on human detection performance of targets embedded in infrared images. However, different enhancement techniques, as well as different surrounding conditions, cause this effect to vary. In this paper, we analyze the effect of several histogram modeling enhancement methods on human detection performance, according to specially designed psychophysical experiment results. We also present, using the Analysis of Variance (ANOVA) statistical tool, how this effect varies according to different surrounding conditions, and whether the effect is statistically significant. A quantitative empirical criterion for enhancement efficiency is introduced and used to show how histogram modeling enhancement can considerably improve poor detection performance associated with natural images, provided that the applied enhancement method does not change drastically the natural image Pixel Distribution Function (PDF). On the other hand, if the criterion is not achieved, histogram modeling enhancement has negligible influence.
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Guy Aviram and Stanley R. Rotman "Evaluating the effect of histogram modeling enhancement on human detection of targets embedded in infrared images", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365849
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KEYWORDS
Image enhancement
Target detection
Detection and tracking algorithms
Infrared imaging
Infrared radiation
Infrared detectors
Performance modeling
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