Results 41 to 50 of about 820 (130)

Artificial Compound Eye for Clear Vision in Harsh Environment

Advanced Functional Materials, Volume 36, Issue 4, 12 January 2026.
Artificial compound eye (CE) with exceptional imaging and motion tracking capturing the movement of a spider and swinging thread with a wide field of view. Surface modifications ensure clear vision of alphabetic letters in rain and fog. Images captured in fog with CE remains visible 3 times longer than simple eyes (SE).
Kehinde Kassim, Qiuyun Lu, Hao Xuan, Nobuo Maeda, Xingyu Li, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source

Single Image Dehazing Using Sparse Contextual Representation

Atmosphere, 2021
In this paper, we propose a novel method to remove haze from a single hazy input image based on the sparse representation. In our method, the sparse representation is proposed to be used as a contextual regularization tool, which can reduce the block ...
Jing Qin, Liang Chen, Jian Xu, Wenqi Ren
doaj   +1 more source

Single Image Dehazing Algorithm Based on Multi-scale Image Fusion [PDF]

Jisuanji gongcheng, 2016
To effectively improve the quality of the degraded image in foggy days,this paper proposes a dehazing algorithm for single image based on multi-scale image fusion.After the image is converted to gradient domain,each scale value is calculated by means of ...
PAN Lei,ZHENG Yijun
doaj   +1 more source

PhysMamba‐Unroll: Efficient Deep Unfolding via State Space Models for Edge Adverse Weather Restoration

Electronics Letters, Volume 62, Issue 1, January/December 2026.
PhysMamba‑Unroll, a framework that addresses the high computational cost of deploying deep unfolding networks on edge devices by synergistically integrating Mamba's linear complexity with physics‐informed unrolling. ABSTRACT Real‐time adverse weather image restoration on edge devices is hindered by a fundamental tension: Deep unfolding networks (DUNs ...
Yongkang Li, Xianglai Wang, Jiuyin Geng, Xia Xue, Fanke Meng   +4 more
wiley   +1 more source

Wavelet Quadtree Contrast Limited Adaptive Histogram Equalisation Tablet Enhancement Method for Defect Detection in Low‐Contrast Tablets

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel image enhancement method, WCTE, which integrates Haar wavelet transform and adaptive CLAHE to improve the visibility of low‐contrast tablet images. Combined with the YOLOv11 model, this approach significantly boosts defect detection accuracy, especially for half‐grain and paste tabtal.
Zimei Tu, Qinna Wang, Zhicheng Jiang, Jinhua Jiang   +3 more
wiley   +1 more source

A Unified Variational Model for Single Image Dehazing

IEEE Access, 2019
Haze is a common weather phenomenon, which hinders many outdoor computer vision applications such as outdoor surveillance, navigation control, vehicle driving, and so on.
Yun Liu, Jinxia Shang, Lei Pan, Anzhi Wang, Minghui Wang   +4 more
doaj   +1 more source

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

An image dehazing method combining adaptive dual transmissions and scene depth variation

Journal of Measurement Science and Instrumentation, 2023
Aiming at the problems of imprecise transmission estimation and color cast in single image dehazing algorithms, an image dehazing method combining adaptive dual transmissions and scene depth variation is proposed.
LIN Lei, YANG Yan
doaj  

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

Pre‐Trained Codebook‐Based Enhancement: A Novel Approach for Clarifying Underwater Images

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This work presents a codebook‐driven enhancement network to tackle colour distortion and detail loss in underwater images. By aligning multi‐scale features with a pre‐trained VQGAN codebook and fusing shallow‐to‐deep cues, the method boosts contrast, edges and clarity without requiring large paired datasets.
Yuanxue Xin, Zhi Qiao, Xinnan Fan, Chen Guo, Bing Zhao   +4 more
wiley   +1 more source