Results 21 to 30 of about 22,622,900 (184)
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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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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Latent Disentanglement for Low Light Image Enhancement
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)Many learning-based low-light image enhancement (LLIE) algorithms are based on the Retinex theory. However, the Retinex-based decomposition techniques in such models introduce corruptions which limit their enhancement performance. In this paper, we propose a Latent Disentangle-based Enhancement Network (LDE-Net) for low light vision tasks.
Zhihao Zheng, Mooi Choo Chuah
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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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A Survey of Low-Light Image Enhancement
Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022 With the higher requirements of computer vision image enhancement of low-light image has become an important research content of computer vision. Traditional low-light image enhancement algorithms can improve image brightness and detailed visibility to varying degrees, but due to their strict mathematical derivation, such methods have bottlenecks and ...
Weiqiang Liu +3 more
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Towards Robust Low Light Image Enhancement
CoRR, 2022 In this paper, we study the problem of making brighter images from dark images found in the wild. The images are dark because they are taken in dim environments. They suffer from color shifts caused by quantization and from sensor noise. We don't know the true camera reponse function for such images and they are not RAW.
Sara Aghajanzadeh, David A. Forsyth
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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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Delaunay triangulation based image enhancement for echocardiography images [PDF]
, 2009 A novel image enhancement approach for automatic echocardiography image processing is proposed. The main steps include undecimated wavelet based speckle noise reduction, edge detection, followed by a regional enhancement process that employs Delaunay ...
Ahanathapillai, V. +2 more
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