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• W4285145630 abstract "Owing to the increasing deployment of CMOS camera modules, it is inevitable to take photographs under weak illumination. Therefore, low-light imaging quality is one of the most important factors affecting user experience as well as the product values of consumer electronics, automobile, surveillance, factory automation, and other industrial applications. Inspired by human vision, this article jointly considers <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>visibility perception</i> , <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>luminosity cognition</i> , and <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>color sensation</i> and presents a new visibility perception-guided blind quality indicator for low-light images in-the-wild. To excavate effective descriptors for authentic distortions under weak illumination, we utilize maximum ignorable visible difference to characterize the reduced visibility, and employ the luminance statistical properties and color sensation characteristics to represent brightness and colorfulness distortions. Extensive experimental results on the benchmark dataset verify that the proposed blind quality indicator outperforms nine representative methods including general-purpose and distortion-specific methods." @default.
• W4285145630 created "2022-07-14" @default.
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• W4285145630 date "2023-04-01" @default.
• W4285145630 modified "2023-10-14" @default.
• W4285145630 title "Low-Light Images In-the-Wild: A Novel Visibility Perception-Guided Blind Quality Indicator" @default.
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• W4285145630 doi "https://doi.org/10.1109/tii.2022.3173934" @default.
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