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A Survey of Deep Learning-Based Low-Light Image Enhancement
Sensors, 2023 Images captured under poor lighting conditions often suffer from low brightness, low contrast, color distortion, and noise. The function of low-light image enhancement is to improve the visual effect of such images for subsequent processing.
Zhen Tian +6 more
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An Empirical Study on Retinex Methods for Low-Light Image Enhancement
Remote Sensing, 2022 A key part of interpreting, visualizing, and monitoring the surface conditions of remote-sensing images is enhancing the quality of low-light images.
Muhammad Tahir Rasheed +4 more
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Low-light Image Enhancement Model with Low Rank Approximation [PDF]
Jisuanji kexue, 2022 Due to the influence of low lightness,the images acquired at dim or backlight conditions tend to have poor visual quality.Retinex-based low-light enhancement models are effective in improving the scene lightness,but they are often limited in hand-ling ...
WANG Yi-han, HAO Shi-jie, HAN Xu, HONG Ri-chang
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Multi-Feature Guided Low-Light Image Enhancement
Applied Sciences, 2021 Due to the characteristics of low signal-to-noise ratio and low contrast, low-light images will have problems such as color distortion, low visibility, and accompanying noise, which will cause the accuracy of the target detection problem to drop or even ...
Hong Liang +3 more
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Generative adversarial network for low‐light image enhancement
IET Image Processing, 2021 Low‐light image enhancement is rapidly gaining research attention due to the increasing demands of extreme visual tasks in various applications. Although numerous methods exist to enhance image qualities in low light, it is still undetermined how to ...
Fei Li +2 more
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Hierarchical guided network for low‐light image enhancement
IET Image Processing, 2021 Due to insufficient illumination in low‐light conditions, the brightness and contrast of the captured images are low, which affect the processing of other computer vision tasks.
Xiaomei Feng, Jinjiang Li, Hui Fan
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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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DeepSelfie: Single-Shot Low-Light Enhancement for Selfies
IEEE Access, 2020 Taking a high-quality selfie photo in a low-light environment is challenging. Because the foreground and background often have different illumination conditions, they suffer heavily from over/under-exposure issues and cannot be treated in the same manner
Yucheng Lu +2 more
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LiCENt: Low-Light Image Enhancement Using the Light Channel of HSL
IEEE Access, 2022 Images captured in low-brightness environments often lead to poor visibility and exhibit artifacts such as low brightness, low contrast, and color distortion.
Atik Garg, Xin-Wen Pan, Lan-Rong Dung
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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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