Latest Research in Image Enhancement Techniques
28 research papers · 2026 median publication year
Top Research Topics in Image Enhancement Techniques
- Image Enhancement Techniques — 8 papers
- Computer Vision and Pattern Recognition — 8 papers
- Image and Video Processing — 2 papers
- Remote Sensing and LiDAR Applications — 1 papers
- Innovations in Concrete and Construction Materials — 1 papers
- Identification and Quantification in Food — 1 papers
- Artificial Intelligence — 1 papers
- Water Quality Monitoring Technologies — 1 papers
- Optical Wireless Communication Technologies — 1 papers
- Ocean Waves and Remote Sensing — 1 papers
Highest-Cited Papers
- Underwater image enhancement using virtual optical lens modelling and pyramid transformer network with enhanced haze optimization
- VLMs Win a Systematic Evaluation of Underwater Image Reconstruction
- $Ï$-SUB: A Physics-Informed Synthetic Underwater Benchmark Dataset for Underwater Image Enhancement
- MambaUNet: An Efficient U-Shaped State-Space Network for Underwater Image Enhancement
- Airborne Streak Tube Imaging LiDAR-Based Effective Reconstruction of Urban Water Areas
- Robust Image Processing Techniques for Construction Environment Monitoring Using Underwater Robots
- BenthiCat: An opti-acoustic dataset for advancing benthic classification and habitat mapping
- CoRe-UIE: Rethinking Coexisting and Region-wise Degradation for Underwater Image Enhancement
- Degradation-Guided Underwater Image Restoration with Task-Oriented Latent Control
- AQUA20: A Benchmark Dataset for Underwater Species Classification under Challenging Conditions
- A comparative evaluation of deep learning architectures, loss functions, and ensemble strategies for underwater fish species classification
- Detecting LED Colors from Underwater Video Images for Visible Light Communication in a Fish Farm Monitoring System
- A Multi-Scale Underwater Laser Image Restoration Method with Polarization Feature Constraints
- Swimm3R: Splatting with Medium-aware SfM for Underwater 3D Reconstruction
- RPL-UIE: Reliable Prior Learning for Underwater Image Enhancement
- A Sea State Estimation and Uncertainty Awareness Model Integrating Multi-Scale Convolution and DropKey-Transformer
- NCF-Net: Noise Corruption Fusion Network for Robust and Perception-Consistent Underwater Image Enhancement
- ERFA–YOLO: A Real-Time Illegal Angling Detection Framework for Sustainable Aquatic Ecosystem Monitoring in Complex Environments
- SC-Match: Scale-Space Matching with Context Consistency for Side-Scan Sonar Mapping
- A Semi-supervised Physics-Aware Triple-Stream Underwater Image Enhancement Network