LACN: A lightweight attention-guided ConvNeXt network for low-light image enhancement

S Fan, W Liang, D Ding, H Yu - Engineering Applications of Artificial …, 2023 - Elsevier
Images captured under low-light conditions usually have poor visual quality, and hence
greatly reduce the accuracy of subsequent tasks such as image segmentation and detection …

[HTML][HTML] Denoising diffusion post-processing for low-light image enhancement

S Panagiotou, AS Bosman - Pattern Recognition, 2024 - Elsevier
Low-light image enhancement (LLIE) techniques attempt to increase the visibility of images
captured in low-light scenarios. However, as a result of enhancement, a variety of image …

Remove and recover: Two stage convolutional autoencoder based sonar image enhancement algorithm

T Liu, S Yan, G Wang - Multimedia Tools and Applications, 2024 - Springer
High-quality forward-looking sonar images are the basic guarantee for underwater object
detection and classification of autonomous underwater vehicle (AUV). However, the sonar …

An Apple Detection and Localization Method for Automated Harvesting under Adverse Light Conditions

G Zhang, Y Tian, W Yin, C Zheng - Agriculture, 2024 - mdpi.com
The use of automation technology in agriculture has become particularly important as global
agriculture is challenged by labor shortages and efficiency gains. The automated process for …

DA-DRN: A degradation-aware deep Retinex network for low-light image enhancement

X Wei, X Lin, Y Li - Digital Signal Processing, 2024 - Elsevier
This paper proposes a Degradation-Aware Deep Retinex Network (DA-DRN) for enhancing
low-light images. DA-DRN is composed of a decomposition U-Net and an enhancement U …

Content-illumination coupling guided low-light image enhancement network

R Zhao, M Xie, X Feng, X Su, H Zhang, W Yang - Scientific Reports, 2024 - nature.com
Current low-light enhancement algorithms fail to suppress noise when enhancing
brightness, and may introduces structural distortion and color distortion caused by halos or …

Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays

X Wei, X Niu, X Zhang, Y Li - … Conference on Big Data (Big Data …, 2022 - ieeexplore.ieee.org
Computer-aided X-ray pneumonia lesion recognition is important for accurate diagnosis of
pneumonia. With the emergence of deep learning, the identification accuracy of pneumonia …

Lightweight Bearing Fault Diagnosis Method Based on Improved Residual Network

L Gong, C Pang, G Wang, N Shi - Electronics, 2024 - search.proquest.com
A lightweight bearing fault detection approach based on an improved residual network is
presented to solve the shortcomings of previous fault diagnostic methods, such as …

Low-Light Image Enhancement Network Based on Hierarchical Residual and Attention Mechanism

S Xu, C Nan, H Yang - 2024 43rd Chinese Control Conference …, 2024 - ieeexplore.ieee.org
In order to solve the problems of noise artifacts, texture blurring and color imbalance of
existing low-light image enhancement methods, a low-light image enhancement network …

Learning Deep Discriminative Features for Retinal Vessel Segmentation

X Wei - 2023 - escholarship.mcgill.ca
La plupart des méthodes existantes basées sur l'apprentissage en profondeur pour la
segmentation des vaisseaux négligent deux aspects importants des vaisseaux rétiniens …