A wavelet contrast metric for the targeting task performance metric

Bradley L. Preece; Eric A. Flug

doi:10.1117/12.2223855

24 June 2016 A wavelet contrast metric for the targeting task performance metric

Bradley L. Preece, Eric A. Flug

Proceedings Volume 9820, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII; 98200E (2016) https://doi.org/10.1117/12.2223855
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

Target acquisition performance depends strongly on the contrast of the target. The Targeting Task Performance (TTP) metric, within the Night Vision Integrated Performance Model (NV-IPM), uses a combination of resolution, signal-to-noise ratio (SNR), and contrast to predict and model system performance. While the dependence on resolution and SNR are well defined and understood, defining a robust and versatile contrast metric for a wide variety of acquisition tasks is more difficult. In this correspondence, a wavelet contrast metric (WCM) is developed under the assumption that the human eye processes spatial differences in a manner similar to a wavelet transform. The amount of perceivable information, or useful wavelet coefficients, is used to predict the total viewable contrast to the human eye. The WCM is intended to better match the measured performance of the human vision system for high-contrast, low-contrast, and low-observable targets. After further validation, the new contrast metric can be incorporated using a modified TTP metric into the latest Army target acquisition software suite, the NV-IPM.

Citation Download Citation

Bradley L. Preece and Eric A. Flug "A wavelet contrast metric for the targeting task performance metric", Proc. SPIE 9820, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII, 98200E (24 June 2016); https://doi.org/10.1117/12.2223855

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KEYWORDS

Targeting Task Performance metric

Wavelets

Eye

Target acquisition

Received signal strength

Image quality

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