Results 11 to 20 of about 23,223,534 (244)
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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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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Priori Knowledge Makes Low-Light Image Enhancement More Reasonable
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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MAGAN: Unsupervised Low-Light Image Enhancement Guided by Mixed-Attention [PDF]
Big Data Mining and Analytics, 2022 Most learning-based low-light image enhancement methods typically suffer from two problems. First, they require a large amount of paired data for training, which are difficult to acquire in most cases.
Renjun Wang +4 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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Pre‐trained low‐light image enhancement transformer
IET Image ProcessingLow‐light image enhancement is a longstanding challenge in low‐level vision, as images captured in low‐light conditions often suffer from significant aesthetic quality flaws.
Jingyao Zhang, Shijie Hao, Yuan Rao
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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
Shijie Hao +3 more
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Towards Low Light Enhancement With RAW Images [PDF]
IEEE Transactions on Image Processing, 2022 In this paper, we make the first benchmark effort to elaborate on the superiority of using RAW images in the low light enhancement and develop a novel alternative route to utilize RAW images in a more flexible and practical way. Inspired by a full consideration on the typical image processing pipeline, we are inspired to develop a new evaluation ...
Haofeng Huang +4 more
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A survey on image enhancement for Low-light images
Heliyon, 2023 In real scenes, due to the problems of low light and unsuitable views, the images often exhibit a variety of degradations, such as low contrast, color distortion, and noise. These degradations affect not only visual effects but also computer vision tasks. This paper focuses on the combination of traditional algorithms and machine learning algorithms in
Jiawei Guo +4 more
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Low-Light Hyperspectral Image Enhancement
IEEE Transactions on Geoscience and Remote Sensing, 2022 Due to inadequate energy captured by the hyperspectral camera sensor in poor illumination conditions, low-light hyperspectral images (HSIs) usually suffer from low visibility, spectral distortion, and various noises. A range of HSI restoration methods have been developed, yet their effectiveness in enhancing low-light HSIs is constrained.
Xuelong Li 0001 +2 more
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