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Low-Light Stereo Image Enhancement
IEEE Transactions on Multimedia, 2023Jie Huang +4 more
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Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image Enhancement
ACM MultimediaUltra-high-definition (UHD) technology has attracted widespread attention due to its exceptional visual quality, but it also poses new challenges for low-light image enhancement (LLIE) techniques.
Wenbin Zou +3 more
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Unsupervised Low-light Image Enhancement with Generated Low-light Image Pairs
Poster Volume Ⅰ The 2024 Twentieth International Conference on Intelligent Computing August 5-8, 2024 Tianjin, ChinaLow-light image enhancement aims to improve the perception of images captured under low-light conditions. Many previous unsupervised methods rely solely on information from a single image and multiple priors for enhancement. However, the information within a single image is limited, and designing suitable priors could be challenging.
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Low-light Image Enhancement via Dual Reflectance Estimation
Journal of Scientific ComputingzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan Jia, Tiange Wang, Tieyong Zeng
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LYT-NET: Lightweight YUV Transformer-Based Network for Low-Light Image Enhancement
IEEE Signal Processing LettersThis letter introduces LYT-Net, a novel lightweight transformer-based model for low-light image enhancement. LYT-Net consists of several layers and detachable blocks, including our novel blocks—Channel-Wise Denoiser (CWD) and Multi-Stage Squeeze & Excite
Alexandru Brateanu +4 more
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Image enhancement for extremely low light conditions
2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2014In this paper, a novel methodology is proposed for contrast enhancement and noise reduction in very noisy data with low dynamic range on images captured by surveillance camera under extremely low light condition. For the initial noise reduction, a motion adaptive temporal filtering based on the Kalman filter is employed.
Dubok Park +4 more
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Wakeup-Darkness: When Multimodal Meets Unsupervised Low-Light Image Enhancement
ACM Trans. Multim. Comput. Commun. Appl.Low-light image enhancement is a crucial visual task, and many unsupervised methods overlook the degradation of visible information in low-light scenes, adversely affecting the fusion of complementary information and hindering the generation of ...
Xiaofeng Zhang +5 more
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Low-Light Image Enhancement With Multi-Scale Attention and Frequency-Domain Optimization
IEEE transactions on circuits and systems for video technology (Print)Low-light image enhancement aims to improve the perceptual quality of images captured in conditions of insufficient illumination. However, such images are often characterized by low visibility and noise, making the task challenging. Recently, significant
Zhiquan He +7 more
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Retinex-based Low-Light Image Enhancement
2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2023Rui Luo +3 more
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GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval
European Conference on Computer VisionMost existing Low-light Image Enhancement (LLIE) methods either directly map Low-Light (LL) to Normal-Light (NL) images or use semantic or illumination maps as guides.
Han Zhou +6 more
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