Results 31 to 40 of about 165,399 (114)
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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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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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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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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Edge and Color Information Guided High-resolution Low-light Image Enhancement Algorithm [PDF]
Jisuanji kexueThe ability of the device to capture high-resolution images poses a new challenge to image processing,and most of the existing low-light image enhancement algorithms are designed for low-resolution images,and there are problems such as unclear details ...
ZHANG Ling, LI Zhenyu
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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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Low-Light Image Enhancement Using Volume-Based Subspace Analysis
IEEE Access, 2020 Low-light image enhancement is a key technique to overcome the quality degradation of photos taken under challenging illumination conditions. Even though the significant progress has been made for enhancing the poor visibility, the intrinsic noise ...
Wonjun Kim +4 more
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Extreme Low-Light Image Enhancement for Surveillance Cameras Using Attention U-Net
Sensors, 2020 Low-light image enhancement is one of the most challenging tasks in computer vision, and it is actively researched and used to solve various problems. Most of the time, image processing achieves significant performance under normal lighting conditions ...
Sophy Ai, Jangwoo Kwon
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A Review of Modern Low Light Image Enhancement Techniques
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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