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Perceptual image quality assessment for various viewing conditions and display systems
From complete darkness to direct sunlight, real-world dis-
plays operate in various viewing conditions often resulting in a
non-optimal viewing experience. Most existing Image Quality
Assessment (IQA) methods, however, assume ideal environments
and displays, and thus cannot be used when viewing conditions
differ from the standard. In this paper, we investigate the influence
of ambient illumination level and display luminance on human
perception of image quality. We conduct a psychophysical study
to collect a novel dataset of over 10000 image quality preference
judgments performed in illumination conditions ranging from 0 lux
to 20000 lux. We also propose a perceptual IQA framework that
allows most existing image quality metrics (IQM) to accurately
predict image quality for a wide range of illumination conditions
and display parameters 1 . Our analysis demonstrates strong cor-
relation between human IQA and the predictions of our proposed
framework combined with multiple prominent IQMs and across a
wide range of luminance values