Parametric analysis of the Blackwell-McCready data

Matchko, Roy M.

doi:10.1117/1.601724

Cited by 8 publications

(6 citation statements)

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“…According to the TTP metric and Blackwell's canonical perception data [18,19], a human observer prefers some spatial averaging (blur) to noisy images. By taking into account viewing distance and the size of the target on the screen, it is possible to calculate the optimum blur for a given magnification.…”

Section: Experimmentioning

confidence: 99%

Measuring the denoising performance of the human visual system for optimum display quality

Kolb

2016

SPIE Proceedings

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The human visual system (HVS) is a complicated network of filters and algorithms evolved to provide humans with an optimal set of inputs for the task at hand. Temporal and spatial averaging, matched filter analysis, variable gain settings, real time adjustments and feedback -all of these are seamlessly available to humans as they view the world around them via the HVS. In certain situations, however, these abilities may be limited by circumstances necessitated by the task, such as an intermediate display from an external sensor, constrained viewing distance or gain settings, etc. In order to improve the performance of individuals in these situations, a more thorough understanding of how the HVS compensates and performs is required. This paper investigates the denoising performance of the HVS in the presence of noise and various display settings to establish a baseline for optimal display adjustment quality under environmental or system constraints.

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Section: Experimmentioning

confidence: 99%

Measuring the denoising performance of the human visual system for optimum display quality

Kolb

2016

SPIE Proceedings

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“…Adrian (1989) found asymptotic expressions by curve fitting and used the combined function C = (C 2 low + C 2 high ) 1/2 , which was also adopted by the Inter- national Commission on Illumination (CIE 1981). A different model was offered by Matchko et al (1998). All of these involved a large number of tuneable parameters.…”

Section: The Visibility Modelmentioning

confidence: 99%

Human contrast threshold and astronomical visibility

Crumey

2014

Monthly Notices of the Royal Astronomical Society

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The standard visibility model in light pollution studies is the formula of Hecht (1947), as used e.g. by Schaefer (1990). However it is applicable only to point sources and is shown to be of limited accuracy. A new visibility model is presented for uniform achromatic targets of any size against background luminances ranging from zero to full daylight, produced by a systematic procedure applicable to any appropriate data set (e.g Blackwell (1946)), and based on a simple but previously unrecognized empirical relation between contrast threshold and adaptation luminance. The scotopic luminance correction for variable spectral radiance (colour index) is calculated. For point sources the model is more accurate than Hecht's formula and is verified using telescopic data collected at Mount Wilson by Bowen (1947), enabling the sky brightness at that time to be determined. The result is darker than the calculation by Garstang (2004), implying that light pollution grew more rapidly in subsequent decades than has been supposed. The model is applied to the nebular observations of William Herschel, enabling his visual performance to be quantified. Proposals are made regarding sky quality indicators for public use.

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“…Human vision models, which allow to determine the contrast thresholds of targets under various conditions, have been presented and evaluated before. We may refer to recent approaches, based on the Blackwell-McCready data sets, which are particularly versatile for military applications since they additionally consider parameters such as stimulus duration time [7,8].…”

Section: Resolution Gain After Köhler and Leinhosmentioning

confidence: 99%

“…There exist numerical parameterizations of the Blackwell data set, and of extended sets by Blackwell-McCready [13], which additionally account for varying stimulation durations. The resulting equations, presented by Matchko et al [7], are quite complex and contain a plethora of empirically fitted coefficients. Instead, Berek's approach remains comparably simple, and for the purpose of the present paper its accuracy shall a0 = 0.42146 a1 = 0.39557 a2 = 0.07190 a3 = 0.01021 a4 = -0.0007959 Table 2.…”

Section: Berek's Human Vision Modelmentioning

confidence: 99%

Performance of binoculars: Berek’s model of target detection

Merlitz

2014

J. Opt. Soc. Am. A

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A model of target detection thresholds, first presented by Max Berek of Leitz, is fitted into a simple set of closed equations. These are combined with a recently published universal formula for the human eye's pupil size to yield a versatile formalism that is capable of predicting binocular performance gains. The model encompasses target size, contrast, environmental luminance, binocular's objective diameter, magnification, angle of view, transmission, stray light, and the observer's age. We analyze performance parameters of various common binocular models and compare the results with popular approximations to binocular performance, like the well-known twilight index. The formalisms presented here are of interest in military target detection as well as in civil applications such as hunting, surveillance, object security, law enforcement, and astronomy.

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Parametric analysis of the Blackwell-McCready data

Cited by 8 publications

References 0 publications

Measuring the denoising performance of the human visual system for optimum display quality

Measuring the denoising performance of the human visual system for optimum display quality

Human contrast threshold and astronomical visibility

Performance of binoculars: Berek’s model of target detection

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