A psychophysical model for visual discomfort based on receptive fields

Scheir, Gertjan; Donners, Maurice; Geerdinck, L.M.; Vissenberg, M. C. J. M.; Hanselaer, Peter; Ryckaert, Wouter

doi:10.1177/1477153516660606

Cited by 22 publications

(13 citation statements)

References 23 publications

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“…For the paired comparison method (Scheir et al, 2016), the two stimuli (LowMel and HighMel) were presented at three luminance levels (10 kcd/m², 58 kcd/m² and 140 kcd/m²). Each stimulus was compared to itself and to the others (in pair presentations) and subjects had to select which stimulus produced more discomfort (forced-choice method).…”

Section: Psychophysical Experimental Proceduresmentioning

confidence: 99%

Testing Experimental Methods for Discomfort Glare Investigations

Iodice

Jost

Dumortier

2019

PROCEEDINGS OF the 29th Quadrennial Session of the CIE

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Discomfort glare has been investigated for more than a century using various experimental methods. Most of them were based on psychophysical procedures and few others relied on physiological measurements as indicators of it. In this paper, we compare some of these methods to determine the most relevant ones to investigate discomfort glare in an indoor environment. With the same experimental set-up, two experiments were led. In the first one, 35 subjects evaluated two glare sources with different spectral power distribution with seven different psychophysical procedures. In the second one, four physiological measurements were recorded for eight subjects while they were illuminated by the same light sources. Based on the repeatability, the limits and the potential biases of each procedure, three psychophysical methods are recommended to evaluate discomfort glare at photopic levels in an indoor lighting environment. None of the tested physiological measurements produced relevant information about the potential discomfort glare perceived in such environment.

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Section: Psychophysical Experimental Proceduresmentioning

confidence: 99%

Testing Experimental Methods for Discomfort Glare Investigations

Iodice

Jost

Dumortier

2019

PROCEEDINGS OF the 29th Quadrennial Session of the CIE

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“…In 2012, Reinhard et al proposed a calibrated image appearance model used for scene and video reproduction. Some elements from the image‐based approach have also been used in other disciplines of vision research such as for predicting discomfort glare of nonuniform and complex luminaires by introducing the receptive field concept as a kernel …”

Section: Introductionmentioning

confidence: 99%

“…Some elements from the image-based approach have also been used in other disciplines of vision research such as for predicting discomfort glare of nonuniform and complex luminaires by introducing the receptive field concept as a kernel. 15,16 Among the existing image appearance models, iCAM 11 can be referenced as the standard. This model uses the pixelby-pixel tristimulus values of an image as the input and outputs the perceptual attributes (brightness, hue, colorfulness, lightness, chroma, and saturation) for each pixel of the image.…”

Section: Introductionmentioning

confidence: 99%

Assessing the application of an image color appearance model to basic self‐luminous scenes

Phung

Leloup

Smet

et al. 2019

Color Research & Application

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Image color appearance models (Image CAMs) have been developed to predict the perception of complex scenes and are mainly used for image rendering and video reproduction applications. Among these Image CAMs, iCAM is an Image CAM that takes an image as the input and provides the perceptual attributes for each pixel. On the other hand, nonimaging CAMs are widely used and validated, but they always assume a simple test scene of a uniform flat stimulus, a quasi‐neutral background, and a surround. This study presents an evaluation of the performance of iCAM when applied to these simple self‐luminous scenes in predicting the influence of background luminance, background size, saturation, and stimulus size on stimulus brightness. The results show that iCAM is capable of predicting the effect of background luminance and some background size scenarios. However, for unrelated self‐luminous stimuli (dark background), the model predictions do not match the reference data. An evaluation of the effect of the filter kernel size and its relation to the physiological mechanism of image processing inside the visual system has been investigated. Furthermore, the impact of saturation and stimulus size on brightness seems to be underestimated by the model, because the Helmholtz‐Kohlrausch and stimulus size effects are not included. Hence, these findings call for an enhanced Image CAM.

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“…Researchers from different fields have given attention to physiological as well as psychological responses to visual situations exhibiting discomfort glare. 15–18 Wilkins et al. 15 performed a number of experiments to judge illusions of colour, shape, contrast, and motion caused by certain patterns of stripes.…”

Section: Introductionmentioning

confidence: 99%

“…Another psychophysical model has recently been proposed by Scheir et al. 18 to evaluate visual discomfort. Both of the above-mentioned models do not use standard computations of the visual system which is a core concept of the current study.…”

Section: Introductionmentioning

confidence: 99%

A neural response-based model to predict discomfort glare from luminance image

Safdar

Luo

Mughal

et al. 2016

Lighting Research & Technology

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It is well known that one of the problems of the current method for discomfort glare evaluation, called the unified glare rating, is the non-uniform luminance of the glare source. This paper addresses this issue by considering the spatial contrast of luminance as a measure of non-uniformity. An image-based metric is proposed to evaluate discomfort glare by modeling the neural response of human vision. The model takes an absolute luminance image as input and predicts visual discomfort based on the spatial distribution of the luminance of the stimulus and the background. The developed model was tested to predict subjective glare ratings based on an experiment conducted using non-uniform LED sources with symmetric and asymmetric patterns of LEDs, and its performance was compared with the unified glare rating. As expected, the unified glare rating predictions correlated well with the subjective glare evaluations of luminaires with symmetric patterns of LEDs (as they appear less non-uniform) but not for those with asymmetric patterns. Results showed that the developed model, named the Neural Response-based Glare Model, gave similar performance to unified glare rating for symmetric patterns but outperformed UGR for asymmetric patterns of LEDs.

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A psychophysical model for visual discomfort based on receptive fields

Cited by 22 publications

References 23 publications

Testing Experimental Methods for Discomfort Glare Investigations

Testing Experimental Methods for Discomfort Glare Investigations

Assessing the application of an image color appearance model to basic self‐luminous scenes

A neural response-based model to predict discomfort glare from luminance image

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