Variability in image quality assessment metrics with different image capturing devices

Wang, Y.; Durmus, Dorukalp

doi:10.1364/pvled.2022.pvm3h.5

Optica Advanced Photonics Congress 2022 2022

DOI: 10.1364/pvled.2022.pvm3h.5

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Variability in image quality assessment metrics with different image capturing devices

Y. Wang

Dorukalp Durmus

Abstract: Occupants’ subjective evaluations of the visual environment can be estimated using image quality assessment metrics. Images captured by a webcam, iPhone, and HDR camera resulted in only small differences in image quality metrics.

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2022

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Image Quality Metrics, Personality Traits, and Subjective Evaluation of Indoor Environment Images

Wang

Durmus

2022

Buildings

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Adaptive lighting systems can be designed to detect the spatial characteristics of the visual environment and adjust the light output to increase visual comfort and performance. Such systems would require computational metrics to estimate occupants’ visual perception of indoor environments. This paper describes an experimental study to investigate the relationship between the perceived quality of indoor environments, personality, and computational image quality metrics. Forty participants evaluated the visual preference, clarity, complexity, and colorfulness of 50 images of indoor environments. Twelve image quality metrics (maximum local variation (MLV), spatial frequency slope (α), BRISQUE, entropy (S), ITU spatial information (SI), visual complexity (Rspt), colorfulness (M), root mean square (RMS) contrast, Euler, energy (E), contour, and fractal dimension) were used to estimate participants’ subjective evaluations. While visual clarity, visual complexity, and colorfulness could be estimated using at least one metric, none of the metrics could estimate visual preference. The results indicate that perceived colorfulness is highly correlated with perceived clarity and complexity. Personality traits tested by the 10-item personality inventory (TIPI) did not impact the subjective evaluations of the indoor environmental images. Future studies will explore the impact of target and background luminance on the perceived quality of indoor images.

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Image Quality Metrics, Personality Traits, and Subjective Evaluation of Indoor Environment Images

Wang

Durmus

2022

Buildings

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Variability in image quality assessment metrics with different image capturing devices

Abstract: Occupants’ subjective evaluations of the visual environment can be estimated using image quality assessment metrics. Images captured by a webcam, iPhone, and HDR camera resulted in only small differences in image quality metrics.

Cited by 1 publication

References 8 publications

Image Quality Metrics, Personality Traits, and Subjective Evaluation of Indoor Environment Images

Image Quality Metrics, Personality Traits, and Subjective Evaluation of Indoor Environment Images

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