Measurement and analysis of perceivable signal-to-noise ratio for infrared imaging system with human vision

Xin Liu; Jing Zhao; Honghua Chang; Lin Ma

doi:10.1117/12.999894

5 December 2012 Measurement and analysis of perceivable signal-to-noise ratio for infrared imaging system with human vision

Xin Liu, Jing Zhao, Honghua Chang, Lin Ma

Author Affiliations +

Proceedings Volume 8562, Infrared, Millimeter-Wave, and Terahertz Technologies II; 85621J (2012) https://doi.org/10.1117/12.999894
Event: Photonics Asia, 2012, Beijing, China

Abstract

The relationship between correct discrimination probability of the human eye and perceivable signal-to-noise (SNR) threshold is studied for different equilateral triangle sizes with specified luminance through combining theoretical calculation with practical experiment based on triangle orientation discrimination (TOD) performance evaluation method. Specifically, the simulation images of triangle patterns are generated by an infrared imaging system (IRIS) simulation model. And the perceivable SNRs for these images are calculated by establishing the system theoretical model and the human vision system model. Meanwhile, the Four-Alternative Forced-Choice experiment is performed. Experiment results of several observers are averaged statistically and the curves of perceivable SNR threshold which change with the correct discrimination probability are obtained. Finally, the analyses of these results show that these changes are in accordance with the psychometric function and that the fitting curves become steep with the increase of triangle sizes. These data and conclusions are helpful to modify the existing TOD performance model of an IRIS.

Citation Download Citation

Xin Liu, Jing Zhao, Honghua Chang, and Lin Ma "Measurement and analysis of perceivable signal-to-noise ratio for infrared imaging system with human vision", Proc. SPIE 8562, Infrared, Millimeter-Wave, and Terahertz Technologies II, 85621J (5 December 2012); https://doi.org/10.1117/12.999894

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