Results 1 to 10 of about 842,500 (318)
Low-light image enhancement using generative adversarial networks [PDF]
Scientific ReportsIn low-light environments, the amount of light captured by the camera sensor is reduced, resulting in lower image brightness. This makes it difficult to recognize or completely lose details in the image, which affects subsequent processing of low-light ...
Litian Wang +3 more
doaj +4 more sources
A Survey of Deep Learning-Based Low-Light Image Enhancement [PDF]
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
doaj +2 more sources
Multi-Feature Guided Low-Light Image Enhancement [PDF]
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
doaj +2 more sources
Pyramid Diffusion Models For Low-light Image Enhancement [PDF]
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023 Recovering noise-covered details from low-light images is challenging, and the results given by previous methods leave room for improvement. Recent diffusion models show realistic and detailed image generation through a sequence of denoising refinements ...
Dewei Zhou, Zongxin Yang, Yi Yang
semanticscholar +3 more sources
Priori Knowledge Makes Low-Light Image Enhancement More Reasonable [PDF]
SensorsThis paper presents a priori knowledge-based low-light image enhancement framework, termed Priori DCE (Priori Deep Curve Estimation). The priori knowledge consists of two key aspects: (1) enhancing a low-light image is an ill-posed task, as the ...
Zefei Chen +4 more
doaj +2 more sources
Low-Light Image Enhancement Using Photometric Alignment with Hierarchy Pyramid Network [PDF]
Sensors, 2022 Low-light image enhancement can effectively assist high-level vision tasks that often fail in poor illumination conditions. Most previous data-driven methods, however, implemented enhancement directly from severely degraded low-light images that may ...
Jing Ye +3 more
doaj +2 more sources
LIME: Low-Light Image Enhancement via Illumination Map Estimation
IEEE Transactions on Image Processing, 2017 When one captures images in low-light conditions, the images often suffer from low visibility. Besides degrading the visual aesthetics of images, this poor quality may also significantly degenerate the performance of many computer vision and multimedia ...
Xiaojie Guo, Yu Li, Haibin Ling
semanticscholar +4 more sources
Low-light image enhancement via adaptive frequency decomposition network [PDF]
Scientific Reports, 2023 Images captured in low light conditions suffer from low visibility, blurred details and strong noise, resulting in unpleasant visual appearance and poor performance of high level visual tasks. To address these problems, existing approaches have attempted
Xiwen Liang +5 more
doaj +2 more sources
Content-illumination coupling guided low-light image enhancement network [PDF]
Scientific ReportsCurrent low-light enhancement algorithms fail to suppress noise when enhancing brightness, and may introduces structural distortion and color distortion caused by halos or artifacts.
Ruini Zhao +5 more
doaj +2 more sources
Decoupled Low-Light Image Enhancement [PDF]
ACM Transactions on Multimedia Computing, Communications, and Applications, 2022 The visual quality of photographs taken under imperfect lightness conditions can be degenerated by multiple factors, e.g., low lightness, imaging noise, color distortion, and so on. Current low-light image enhancement models focus on the improvement of low lightness only, or simply deal with all the degeneration factors as a whole, therefore leading to
Hao, Shijie +3 more
openaire +2 more sources