Latest Research in Image Enhancement Techniques
22 research papers · 2026 median publication year
Top Research Topics in Image Enhancement Techniques
- Advanced Neural Network Applications — 10 papers
- Image Enhancement Techniques — 2 papers
- Autonomous Vehicle Technology and Safety — 2 papers
- Fire Detection and Safety Systems — 2 papers
- Adversarial Robustness in Machine Learning — 1 papers
- Industrial Vision Systems and Defect Detection — 1 papers
- Radiation Detection and Scintillator Technologies — 1 papers
- Computer Vision and Pattern Recognition — 1 papers
- Traffic and Road Safety — 1 papers
- Belt Conveyor Systems Engineering — 1 papers
Highest-Cited Papers
- Comparative Benchmarking of YOLOv8 Variants for Traffic Sign Detection
- DNLA-AGW: A Mine Image Enhancement Algorithm Based on Local Perception and Multi-Domain Guided Fusion
- One Signature, Two Threats: Grammar Scored Cross-Channel Disagreement for Robust Traffic Sign Recognition
- BOM-YOLOv12n: A Lightweight Detection Model for Protective Equipment in Smart Construction Sites
- RiDW-YOLO: A Low-Light Traffic Sign Detection Algorithm Integrating Illumination Enhancement
- Impact of Environmental Conditions on YOLOv8-Based Traffic Sign Detection: A Controlled Comparison of Simulated and Real Weather Cases
- A vision-based system for monitoring scan-avoidance and anomalies at retail checkouts
- Alpha track counting on CR-39 detectors using YOLOv8s: Model development and application
- Frequency Domain Perception Filtering for Road Night Vision Image Enhancement in Edge-Cloud Scenario
- Small-Target Traffic Sign Detection Method Based on Multi-Path Feature Aggregation and Attention Enhancement
- Asymmetric similarity aware object detection using Tversky YOLO for fine grained traffic sign recognition
- Pseudo-Label Self-Training for Lane Marking Segmentation in Rain and Night Video, with Application to Multi-Violation Traffic Evidence Generation
- Pseudo-Label Self-Training for Lane Marking Segmentation in Rain and Night Video, with Application to Multi-Violation Traffic Evidence Generation
- DustVeil: Label-Free Real-Time Detection of Airborne Coal-Mine Dust in Camera Streams via Physically-Grounded Multi-Cue Fusion and Knowledge Distillation
- A Lightweight YOLOv8 Tunnel Traffic Object Detection Method Based on Feature Enhancement and Adaptive Pruning
- RailSyn: Diagnosis-Guided Image Generation for Traceable Data Completion in Railway Foreign Object Detection
- SISEVIR: From Manual Inspection to Automated Diagnosis of Vertical Traffic Signs Through YOLO Segmentation, EfficientNet, and Vision–Language Models for National Road Safety Management in Peru
- OIL: A Closed-Loop Periodic Batch Adaptation Framework for Object Detection on Industrial Variable-Speed Conveyor Lines
- Middle-East Traffic Sign (METS) recognition: databases and models
- Enhancing swin transformer via ProbAttention and Convolutional Block Attention Module for traffic sign recognition