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Published in 2024 at "Multimedia Systems"
DOI: 10.1007/s00530-025-01812-7
Abstract: Low-light image enhancement is an important task in computer vision, essential for improving the visibility and quality of images captured in non-optimal lighting conditions. Inadequate illumination can lead to significant information loss and poor image…
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Keywords:
image;
light image;
low light;
illumination ... See more keywords
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Published in 2024 at "Cognitive Computation"
DOI: 10.1007/s12559-024-10347-4
Abstract: Methods based on the physical Retinex model are effective in enhancing low-light images, adeptly handling the challenges posed by low signal-to-noise ratios and high noise in images captured under weak lighting conditions. However, traditional models…
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Keywords:
light image;
low light;
joint network;
retinex ... See more keywords
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Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-02947-x
Abstract: Insufficient illumination causes poor discernibility of visuals captured under low light environment. Often, computer vision algorithms designed to process visuals taken under normal light struggle to handle visuals with low visibility. The present work proposes…
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Keywords:
low light;
illumination;
illumination map;
light image ... See more keywords
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Published in 2020 at "Optik"
DOI: 10.1016/j.ijleo.2020.164260
Abstract: Abstract Images acquired during night either appear too dark or either seem biased towards the color of lighting source. This paper proposes a low-light image enhancement technique that simultaneously preserves contrast and removes color saturation…
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Keywords:
color;
image;
low light;
balancing ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-81706-2
Abstract: Low-light image enhancement aims to enhance the visibility and contrast of low-light images while eliminating complex degradation issues such as noise, artifacts, and color distortions. Most existing low-light image enhancement methods either focus on quality…
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Keywords:
enhancement;
light image;
low light;
network ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-26962-6
Abstract: Images captured at night or under low-light conditions often suffer from insufficient brightness, low resolution, and detail loss. Although numerous deep learning-based methods have been proposed, most rely on direct mappings from low-illumination to normal-illumination…
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Keywords:
image iterative;
multi branch;
light image;
low light ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2887296
Abstract: Under extreme low-lighting conditions, images have low contrast, low brightness, and high noise. In this paper, we propose a principal component analysis framework to enhance low-light-level images with decomposed luminance–chrominance components. A multi-scale retinex-based adaptive…
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Keywords:
component analysis;
low light;
principal component;
light image ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161527
Abstract: Images captured in low-brightness environments often lead to poor visibility and exhibit artifacts such as low brightness, low contrast, and color distortion. These artifacts not only affect the visual perception of the human eye but…
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Keywords:
light image;
low light;
light channel;
image enhancement ... See more keywords
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2
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3197629
Abstract: Low-light image enhancement is a key prerequisite for diverse applications in the field of image processing and computer vision. Various approaches for this task have been introduced over last few decades, and the current state…
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Keywords:
light image;
comparative review;
low light;
enhancement comparative ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3227069
Abstract: At present, researchers have made great progress in the research of object detection, however, these studies mainly focus on the object detection of images under normal lighting, ignoring the target detection under low light. And…
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Keywords:
light image;
network;
fusion;
multi scale ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3447716
Abstract: The most popular technique for converting two-class images into binary images is thresholding. However, thresholding methods tend to perform poorly when dealing with images affected by uneven lighting. To address this issue, local thresholding techniques…
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Keywords:
image;
light image;
uneven light;
neural network ... See more keywords