Results 31 to 40 of about 156,769 (258)
Adaptive Enhancement of Extreme Low-Light Images
, 2023 Existing methods for enhancing dark images captured in a very low-light environment assume that the intensity level of the optimal output image is known and already included in the training set. However, this assumption often does not hold, leading to output images that contain visual imperfections such as dark regions or low contrast.
Evgeny Hershkovitch Neiterman +2 more
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Applied Sciences, 2023 Insufficient light, uneven light, backlighting, and other problems lead to poor visibility of the image of an electric power operation site. Most of the current methods directly enhance the low-light image while ignoring local strong light that may ...
Yang Xi, Zihao Zhang, Wenjing Wang
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Low-Light Image Enhancement with Normalizing Flow
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 To enhance low-light images to normally-exposed ones is highly ill-posed, namely that the mapping relationship between them is one-to-many. Previous works based on the pixel-wise reconstruction losses and deterministic processes fail to capture the complex conditional distribution of normally exposed images, which results in improper brightness ...
Yufei Wang 0006 +5 more
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Multi-Scale Low-Light Image Enhancement Network Based on U-Net [PDF]
Jisuanji gongcheng, 2022 Low light is a common phenomenon when shooting at night.Insufficient illumination causes serious loss of image details and reduces visual quality.The existing low-light image enhancement methods have insufficient perception and expression of features at ...
XU Chaoyue, YU Ying, HE Penghao, LI Miao, MA Yuhui
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Retinex Low-Illumination Image Enhancement Algorithm Based on Light Image Estimation [PDF]
Jisuanji gongcheng, 2021 The images collected in low-illumination environment are limited in the contrast, and suffer from detail loss and noise interference.To address the problem, a Retinex-based method is proposed to improve illumination map estimation and realize low ...
HAN Mengyan, LI Liangrong, JIANG Kai
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Low Light Image Enhancement Based on Multi-Scale Network Fusion
IEEE Access, 2022 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.
Xuan Liu +8 more
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Attention-Based Network For Low-Light Image Enhancement [PDF]
2020 IEEE International Conference on Multimedia and Expo (ICME), 2020 The captured images under low light conditions often suffer insufficient brightness and notorious noise. Hence, low-light image enhancement is a key challenging task in computer vision. A variety of methods have been proposed for this task, but these methods often failed in an extreme low-light environment and amplified the underlying noise in the ...
Cheng Zhang +5 more
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DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement
Tsinghua Science and Technology, 2023 Poor illumination greatly affects the quality of obtained images. In this paper, a novel convolutional neural network named DEANet is proposed on the basis of Retinex for low-light image enhancement.
Yonglong Jiang +4 more
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SPLIE: Optimal Illumination Estimation for Structure Preserving Low-light Image Enhancement [PDF]
Port Said Engineering Research Journal, 2021 The images taken in low-light conditions often have many flaws such as, color vividness and low visibility which negatively affects the performance of many vision-based systems.
Ghada Sandoub +3 more
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Channel splitting attention network for low‐light image enhancement
IET Image Processing, 2022 Low‐light enhancement is a crucial task in computer vision because of the limited dynamic range of digital imaging devices in poor lighting conditions. Images taken under low‐light conditions often suffer from insufficient brightness and severe noise. At
Bibo Lu +3 more
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