Unsupervised Low-Light Image Enhancement via Virtual Diffraction Information in Frequency Domain
, 2023 With the advent of deep learning, significant progress has been made in low-light image enhancement methods. However, deep learning requires enormous paired training data, which is challenging to capture in real-world scenarios.
Xupei Zhang +5 more
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Low Light Image Enhancement Based on Multi-Scale Network Fusion
IEEE Access, 2022 At present, researchers have made great progress in the research of object detection, however, these studies mainly focus on the object detection of images under normal lighting, ignoring the target detection under low light.
Xuan Liu +8 more
doaj +1 more source
Low-light Image Enhancement Using the Cell Vibration Model [PDF]
, 2022 Low light very likely leads to the degradation of an image's quality and even causes visual task failures. Existing image enhancement technologies are prone to overenhancement, color distortion or time consumption, and their adaptability is fairly ...
Lei, Xiaozhou +9 more
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Channel splitting attention network for low‐light image enhancement
IET Image Processing, 2022 Low‐light enhancement is a crucial task in computer vision because of the limited dynamic range of digital imaging devices in poor lighting conditions. Images taken under low‐light conditions often suffer from insufficient brightness and severe noise. At
Bibo Lu +3 more
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Convolutional Neural Network-Based Low Light Image Enhancement Method
Компьютерная оптикаWith advances in science and technology, remote sensing images are vital for vegetation monitoring. The use of remote sensing allows for the collection of widespread, multi-temporal data on vegetation, leading to a better comprehension and management of ...
M.X. Li, C.J. Xu
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DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement
Tsinghua Science and Technology, 2023 Poor illumination greatly affects the quality of obtained images. In this paper, a novel convolutional neural network named DEANet is proposed on the basis of Retinex for low-light image enhancement.
Yonglong Jiang +4 more
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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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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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Low-Light Image Enhancement Based on Cell Vibration Energy Model and Lightness Difference
Low-light image enhancement algorithms play a crucial role in revealing details obscured by darkness in images and substantially improving overall image quality.
X Lei (8002874) +4 more
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Adaptive Single Low-Light Image Enhancement by Fractional Stretching in Logarithmic Domain
IEEE Access, 2023 Low-light image enhancement is a challenging task that aims to improve the visibility and quality of images captured in dark environments. However, existing methods often introduce undesirable artifacts such as color distortion, halo effects, blocking ...
Thaweesak Trongtirakul +2 more
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