Results 41 to 50 of about 891 (115)
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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Low-Light Image Enhancement Using Photometric Alignment with Hierarchy Pyramid Network
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
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DeepSelfie: Single-Shot Low-Light Enhancement for Selfies
IEEE Access, 2020 Taking a high-quality selfie photo in a low-light environment is challenging. Because the foreground and background often have different illumination conditions, they suffer heavily from over/under-exposure issues and cannot be treated in the same manner
Yucheng Lu +2 more
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Low-Light Image Enhancement by Principal Component Analysis
IEEE Access, 2019 Under extreme low-lighting conditions, images have low contrast, low brightness, and high noise. In this paper, we propose a principal component analysis framework to enhance low-light-level images with decomposed luminance–chrominance components.
Steffi Agino Priyanka +2 more
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A Dual-Branch Autoencoder Network for Underwater Low-Light Polarized Image Enhancement
Remote SensingUnderwater detection faces uncomfortable illumination conditions, and traditional optical images sensitive to intensity often cannot work well in these conditions.
Chang Xue +4 more
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Low-Light Image Enhancement Method Based on Retinex Theory by Improving Illumination Map
Applied Sciences, 2022 Recently, low-light image enhancement has attracted much attention. However, some problems still exist. For instance, sometimes dark regions are not fully improved, but bright regions near the light source or auxiliary light source are overexposed.
Xinxin Pan +5 more
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Non-linear Low-Light Image Enhancement Based on Fusion Color Model Space
四川大学学报. 自然科学版, 2021 Lowlight images have problems such as low overall brightness of the image, uneven brightness, high color saturation, and image blur. To address these problems, a lowlight image enhancement algorithm fusing color model space is proposed, in which the ...
LIU Shou-Xin +3 more
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Troublemaker Learning for Low-Light Image Enhancement
Proceedings of the 2025 International Conference on Multimedia RetrievalLow-light image enhancement (LLIE) restores the color and brightness of underexposed images. Supervised methods suffer from high costs in collecting low/normal-light image pairs. Unsupervised methods invest substantial effort in crafting complex loss functions.
Yinghao Song +6 more
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Unsupervised Boosted Fusion Network for Single Low-Light Image Enhancement
IEEE AccessUnsupervised methods are gradually becoming a research hotspot in low-light image enhancement due to their lack of paired training data and higher quality visual enhancement effects, but existing unsupervised low-light image enhancement methods generate ...
Jianfeng Zhang +2 more
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Low-Light Image Enhancement Based on Nonsubsampled Shearlet Transform
IEEE Access, 2020 To improve the observability of low-light images, a low-light image enhancement algorithm based on nonsubsampled shearlet transform (NSST) is presented (LIEST). The proposed algorithm can synchronously achieve contrast improvement, noise suppression, and
Manli Wang +4 more
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