Results 11 to 20 of about 12,335,378 (248)
Low-Light Hyperspectral Image Enhancement [PDF]
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.
Li, Xuelong, Li, Guanlin, Zhao, Bin
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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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Visibility Enhancement for Low-light Hazy Scenarios
CoRR, 2023 Low-light hazy scenes commonly appear at dusk and early morning. The visual enhancement for low-light hazy images is an ill-posed problem. Even though numerous methods have been proposed for image dehazing and low-light enhancement respectively, simply ...
Zhuang, Chaoqun +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 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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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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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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Unsupervised network for low-light enhancement
CoRR, 2023 Supervised networks address the task of low-light enhancement using paired images. However, collecting a wide variety of low-light/clean paired images is tedious as the scene needs to remain static during imaging. In this paper, we propose an unsupervised low-light enhancement network using contextguided illumination-adaptive norm (CIN).
Praveen Kandula +2 more
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, 2022 Low-light Image Enhancement with Regularized Gaussian Fields ...
Min, Chaobo, Min, C (via Mendeley Data)
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