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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 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 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3134943
Abstract: Recently, there has been growing attention on deep learning-based low-light image enhancement algorithms. With this interest, various synthetic low-light image datasets have been released publicly. However, real-world low-light and well-exposed image pair datasets are still…
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Keywords:
light image;
low light;
exposed images;
well exposed ... See more keywords
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3
Published in 2023 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2023.3240087
Abstract: Images captured in low-light environments suffer from serious degradation due to insufficient light, leading to the performance decline of industrial and civilian devices. To address the problems of noise, chromatic aberration, and detail distortion for…
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Keywords:
light image;
lightingnet;
low light;
integrated learning ... See more keywords
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Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3049940
Abstract: Low-light images have low brightness and contrast, which presents a huge obstacle to computer vision tasks. Low-light image enhancement is challenging because multiple factors (such as brightness, contrast, artifacts, and noise) must be considered simultaneously.…
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Keywords:
light image;
low light;
feature;
image enhancement ... See more keywords
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3
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3073371
Abstract: Low-light images suffer from low contrast and unclear details, which not only reduces the available information for humans but limits the application of computer vision algorithms. Among the existing enhancement techniques, Retinex-based and learning-based methods…
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Keywords:
light image;
unified deep;
low light;
image enhancement ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3086598
Abstract: Single image super-resolution (SR), as a basic computer vision task, has been widely studied. However, existing single image SR methods, applied in images with normal light, perform poorly on low-light images. To address this limitation,…
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Keywords:
light image;
single low;
low light;
color ... See more keywords