An experiment-based review of low-light image enhancement methods
W Wang, X Wu, X Yuan, Z Gao - Ieee Access, 2020 - ieeexplore.ieee.org
Images captured under poor illumination conditions often exhibit characteristics such as low
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …
Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical …
R Al Sobbahi, J Tekli - Signal Processing: Image Communication, 2022 - Elsevier
Low-light image (LLI) enhancement is an important image processing task that aims at
improving the illumination of images taken under low-light conditions. Recently, a …
improving the illumination of images taken under low-light conditions. Recently, a …
LAE-Net: A locally-adaptive embedding network for low-light image enhancement
In the low-light enhancement task, one of the major challenges lies in how to balance the
image enhancement properties of light intensity, detail presentation and color fidelity. In …
image enhancement properties of light intensity, detail presentation and color fidelity. In …
Low-light image enhancement based on virtual exposure
W Wang, D Yan, X Wu, W He, Z Chen, X Yuan… - Signal Processing: Image …, 2023 - Elsevier
Under poor illumination, the image information captured by a camera is partially lost, which
seriously affects the visual perception of the human. Inspired by the idea that the fusion of …
seriously affects the visual perception of the human. Inspired by the idea that the fusion of …
A survey on image enhancement for Low-light images
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 …
exhibit a variety of degradations, such as low contrast, color distortion, and noise. These …
[HTML][HTML] A survey of deep learning-based low-light image enhancement
Images captured under poor lighting conditions often suffer from low brightness, low
contrast, color distortion, and noise. The function of low-light image enhancement is to …
contrast, color distortion, and noise. The function of low-light image enhancement is to …
All-day vehicle detection from surveillance videos based on illumination-adjustable generative adversarial network
Vehicle detection from surveillance videos is of great significance for various Intelligent
Transportation System (ITS) applications. However, existing deep learning methods …
Transportation System (ITS) applications. However, existing deep learning methods …
Low-light image enhancement using inverted image normalized by atmospheric light
Images captured under low-light conditions are characterized by problems, including low
brightness, low contrast, and color distortion. Low-light image enhancement, aims to …
brightness, low contrast, and color distortion. Low-light image enhancement, aims to …
Low-light image enhancement based on GAN with attention mechanism and color Constancy
X Wang, Y Zhai, X Ma, J Zeng, Y Liang - Multimedia Tools and …, 2024 - Springer
Images captured in low-light often suffer from severe quality degraded problems, such as
low contrast and color distortion, which make it intractable for further computer vision tasks …
low contrast and color distortion, which make it intractable for further computer vision tasks …
Adaptive visual field multi-scale generative adversarial networks image inpainting base on coordinate-attention
G Chen, P Kang, X Wu, Z Yang, W Liu - Neural Processing Letters, 2023 - Springer
Image inpainting with the large missing blocks is tremendous challenging to achieve visual
consistency and realistic effect. In this paper, an Adaptive Visual field Multi-scale Generative …
consistency and realistic effect. In this paper, an Adaptive Visual field Multi-scale Generative …