Results 61 to 70 of about 4,947 (184)

Progressive Knowledge Distillation for Edge‐Deployable Solder Joint Segmentation

IET Image Processing, Volume 20, Issue 1, January/December 2026.
Solder‐Yolo is a lightweight deep learning model based on YOLOv8‐seg, designed for high‐precision solder joint inspection in FPC ribbon cables. It incorporates model pruning, knowledge distillation and a hierarchical context attention module to achieve 96.7% precision and 91.3% mAP while maintaining high inference speed.
Kunhong Li, Xiaolong Guo, Qing Zhao, Yang Chen, Qiang Zhai   +4 more
wiley   +1 more source

A Nighttime and Daytime Single-Image Dehazing Method

Applied Sciences, 2022
In this study, the requirements for image dehazing methods have been put forward, such as a wider range of scenarios in which the methods can be used, faster processing speeds and higher image quality.
Yunqing Tang, Yin Xiang, Guangfeng Chen
doaj   +1 more source

Reliable image dehazing by NeRF

Optics Express
Image dehazing is a typical low-level visual task. With the continuous improvement of network performance and the introduction of various prior knowledge, the ability of image dehazing is becoming stronger. However, the existing dehazing methods have problems such as the inability to obtain real shooting datasets, unreliable dehazing processes, and the
Zheyan Jin, Zhihai Xu, Huajun Feng, Qi Li, Yueting Chen   +4 more
openaire   +2 more sources

An Image Dehazing Algorithm for Underground Coal Mine Environments Based on Dual‐Channel Prior and Adaptive Contrast Enhancement

IET Image Processing, Volume 20, Issue 1, January/December 2026.
In this paper, we introduce a novel image dehazing algorithm based on dual‐channel prior adaptive contrast‐limited enhancement. The algorithm estimates model parameters from different perspectives based on dual‐channel prior knowledge and fuses the parameters according to the characteristics of each channel.
Chang Su, Dong Bing Xiang, Liang Liang Zhao, Jia Qing Meng, Jian Lu   +4 more
wiley   +1 more source

Autonomous Single-Image Dehazing: Enhancing Local Texture with Haze Density-Aware Image Blending

Remote Sensing
Single-image dehazing is an ill-posed problem that has attracted a myriad of research efforts. However, virtually all methods proposed thus far assume that input images are already affected by haze. Little effort has been spent on autonomous single-image
Siyeon Han, Dat Ngo, Yeonggyu Choi, Bongsoon Kang   +3 more
doaj   +1 more source

Mean‐Local Binary Pattern‐Guided Multi‐Attention Network for Low‐Light Image Enhancement

IET Image Processing, Volume 20, Issue 1, January/December 2026.
Low‐light image enhancement struggles with noise amplification, residual dark areas, artefacts and detail loss. This paper presents the MGA‐LLIEN network, which uses M‐LBP for adaptive brightness adjustment and detail recovery while reducing noise and outperforms leading methods in tests. ABSTRACT Low‐light image enhancement faces key challenges: noise
Binxin Tang, Xianchun Zhou, Jiewen Tian, Mengnan Lv, Ying Zhang   +4 more
wiley   +1 more source

Deep Learning Approaches for Effective Fog Detection

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper presents an innovative system for detecting foggy road scenarios and classifying visibility levels to provide timely alerts to drivers, thereby enhancing road safety. The authors introduce two new image datasets, Foggy‐Ceit 2023 and an extended Foggy CityScapes – DBF, and evaluate the performance of classical vision techniques and deep ...
Olatz Iparraguirre, Frank A. Ricardo, Alfonso Brazalez, Diego Borro   +3 more
wiley   +1 more source

A Lightweight YOLOv7‐Based Algorithm for Detecting Foreign Objects on Coal Conveyors

Energy Science &Engineering, Volume 13, Issue 11, Page 5495-5509, November 2025.
During the coal mining, large foreign objects may block coal conveyors, leading to a series of safety accidents. The existing models for detecting foreign objects in coal conveyors perform poorly in low‐light environments, resulting in false or missed detections of foreign objects.
Zhang Mei, Sun Zilong, Zhang Yifan
wiley   +1 more source

An effective ship detection approach combining lightweight networks with supervised simulation‐to‐reality domain adaptation

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 27, Page 4732-4757, 14 November 2025.
Abstract Computer vision‐based ship detection using extensively labeled images is crucial for visual maritime surveillance. However, such data collection is labor‐intensive and time‐demanding, which hinders the practical application of newly built ship inspection systems. Additionally, well‐trained detectors are usually deployed on resource‐constrained
Ruixuan Liao, Yiming Zhang, Hao Wang, Linjun Lu, Zhengyi Chen, Xiaoyou Wang, Wenqiang Zuo   +6 more
wiley   +1 more source

Circular Polarimetric Imaging with a Metamaterial Integrated Long‐Wavelength Infrared Focal Plane Array

Advanced Science, Volume 12, Issue 39, October 20, 2025.
A quantum well infrared photodetector based long‐wavelength infrared division‐of‐focal‐plane‐array circular polarimeter featuring a 320 × 256 pixel array integrated with a chiral meta‐mirror structure array is established. The device achieves a circular polarization extinction ratio of 5.67, a 9.13‐fold enhancement in responsivity, a noise equivalent ...
Tianyun Zhu, Ling Wang, Wenji Jing, Jie Deng, Jiexian Ye, Yujie Zhang, Zeshi Chu, Jing Zhou, Xiaoshuang Chen, Xiangyang Li, Wei Lu, Xuechu Shen   +11 more
wiley   +1 more source