2022
DOI: 10.1117/1.jei.31.6.062009
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Deep learning model for person identification and verification on low illumination images

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“…In scenes such as thick fog, cloudy days, dark nights, or areas covered by shadows, and in situations where the image capture equipment has poor light filling ability, some relatively dark images are collected, which are generally referred to as low illumination images. Low illumination indicates weak illumination, and the surface area of objects in the scene is illuminated to a low level [1,2]. Low illumination images have insufficient local and global light exposure, loss of structural and detail information, and are prone to generating a large amount of noise.…”
Section: Introductionmentioning
confidence: 99%
“…In scenes such as thick fog, cloudy days, dark nights, or areas covered by shadows, and in situations where the image capture equipment has poor light filling ability, some relatively dark images are collected, which are generally referred to as low illumination images. Low illumination indicates weak illumination, and the surface area of objects in the scene is illuminated to a low level [1,2]. Low illumination images have insufficient local and global light exposure, loss of structural and detail information, and are prone to generating a large amount of noise.…”
Section: Introductionmentioning
confidence: 99%