Results 11 to 20 of about 22,622,900 (184)
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
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Low‐light image enhancement for infrared and visible image fusion
IET Image Processing, 2023 Infrared and visible image fusion (IVIF) is an essential branch of image fusion, and enhancing the visible image of IVIF can significantly improve the fusion performance. However, many existing low‐light enhancement methods are unsuitable for the visible
Yiqiao Zhou +5 more
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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
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Generative adversarial network for low‐light image enhancement [PDF]
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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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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Unsupervised Low-Light Image Enhancement in the Fourier Transform Domain
Applied Sciences, 2023 Low-light image enhancement is an important task in computer vision. Deep learning-based low-light image enhancement has made significant progress. But the current methods also face the challenge of relying on a wide variety of low-light/normal-light ...
Feng Ming, Zhihui Wei, Jun Zhang
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DCTE-LLIE: A Dual Color-and-Texture-Enhancement-Based Method for Low-Light Image Enhancement
ComputersThe enhancement of images captured under low-light conditions plays a vitally important role in the area of image processing and can significantly affect the performance of following operations.
Hua Wang +3 more
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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
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A Review of Modern Low Light Image Enhancement Techniques [PDF]
Muthanna Journal of Pure ScienceLow-light image enhancement is a critical area in computer vision. It aimed to improve the quality of images captured under imperfect lighting and restore the image with a high-accuracy color distributed with normal lighting, leading to high similarity ...
Ghufran Alhamzawi +2 more
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Low-light Image Enhancement Using Cell Vibration Model
, 2022 Low light very likely leads to the degradation of an image's quality and even causes visual task failures. Existing image enhancement technologies are prone to overenhancement, color distortion or time consumption, and their adaptability is fairly ...
X Lei (8002874) +4 more
core +6 more sources