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IEEE AccessTraditional enhancement techniques can improve the contrast of low-light and low-resolution images, but they fail to recover their resolution. Conversely, traditional super-resolution (SR) algorithms can enhance resolution but not restore contrast.
He Deng, Kai Cheng, Yuqing Li
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Low Light Image Adaptive Enhancement Algorithm Based on Retinex Theory [PDF]
Jisuanji kexueImages in real-world environments are often shot under sub-optimal lighting conditions,resulting in insufficient brightness and poor visual experience.Existing low-light image enhancement methods are often complex in structure and focus on improving the ...
ZHENG Dichen, HE Jikai, LIU Yi, GAO Fan, ZHANG Dengyin
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A Single-Stage Unsupervised Denoising Low-Illumination Enhancement Network Based on Swin-Transformer
IEEE Access, 2023 Traditional low-light enhancement methods are often based on paired datasets for training. The training data is difficult to obtain and the resulting model has poor generalization.
Qian Zhang +3 more
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Low-Light Image Enhancement with Normalizing Flow
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 To enhance low-light images to normally-exposed ones is highly ill-posed, namely that the mapping relationship between them is one-to-many. Previous works based on the pixel-wise reconstruction losses and deterministic processes fail to capture the complex conditional distribution of normally exposed images, which results in improper brightness ...
Yufei Wang 0006 +5 more
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Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement
IET Image Processing, 2021 Low‐light image enhancement is a challenging field in image processing. Retinex‐based methods perform well for low‐light images. However, reflectance and illumination estimation is an ill‐posed problem.
Anil Singh Parihar +3 more
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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 for Object Classification using Deep Learning [PDF]
, 2021 Low-light image (LLI) enhancement is an important image processing task that aims at improving the illumination of images taken under low-light conditions.
Al Sobbahi, Rayan
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Efficient Diffusion as Low Light Enhancer
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)CVPR 2025 Camera ...
Guanzhou Lan +6 more
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Gradient-Based Low-Light Image Enhancement [PDF]
2019 IEEE International Conference on Consumer Electronics (ICCE), 2019 A low-light image enhancement is a highly demanded image processing technique, especially for consumer digital cameras and cameras on mobile phones. In this paper, a gradient-based low-light image enhancement algorithm is proposed. The key is to enhance the gradients of dark region, because the gradients are more sensitive for human visual system than ...
Masayuki Tanaka 0001 +2 more
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The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
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