Results 61 to 70 of about 1,383 (181)

Research on Tunnel Pedestrian Detection Algorithm Based on Image Enhancement and Threshold Segmentation

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes a low‐light image enhancement and denoising algorithm tailored for tunnel scenes based on computer vision and deep learning technologies. On this basis, a tunnel pedestrian detection method based on connected domain dynamic threshold segmentation is designed, which can reduce the computational resources for identifying pedestrian ...
Yudan Tian, Tong Zhou, Dongchun Li, YuZhao Huang, Hua Huang   +4 more
wiley   +1 more source

Research on image restoration algorithm of uneven illumination in coal mine based on HSV space

Meitan kexue jishu
To accommodate the needs of intelligent construction in coal mines, a large number of digital image acquisition devices have gradually been deployed underground, playing an important role in the safe and efficient production of coal mine.
Sheng LEI, Jinhu ZHANG, Yanpeng LI, Peiyuan LIU   +3 more
doaj   +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 Proposed Algorithm for Retinex Computation in Image Enhancement Applications

Journal of Engineering and Sustainable Development, 2007
The Retinex is an image enhancement algorithm that improves the brightness, contrast and sharpness of an image. The core of Retinex computation is clearly specified in recent Matlab implementations.
Saad Mohammed Saleh, Malik Jasim Farhan, Musa Hadi Wali   +2 more
doaj  

Optimisation of Convolution-Based Image Lightness Processing

Journal of Imaging
In the convolutional retinex approach to image lightness processing, an image is filtered by a centre/surround operator that is designed to mitigate the effects of shading (illumination gradients), which in turn compresses the dynamic range.
D. Andrew Rowlands, Graham D. Finlayson
doaj   +1 more source

Dual‐Path Wavelet Transform Image Exposure Correction Algorithm

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes an image exposure correction method, combining wavelet transforms and deep learning. It uses a dual‐path approach: luminance‐related low‐frequency components are corrected by an exposure correction network, while texture‐detail high‐frequency components are enhanced by a residual network.
Kaicheng Xu, Xingchen Duan, Wei Zhao, Keqin Gan   +3 more
wiley   +1 more source

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

Color Consistency and Local Contrast Enhancement for a Mobile Image-Based Change Detection System

Journal of Imaging, 2017
Mobile change detection systems allow for acquiring image sequences on a route of interest at different time points and display changes on a monitor.
Marco Tektonidis, David Monnin
doaj   +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

YOLO‐O: An Improved YOLO‐Based Framework for Vehicle Detection

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This study proposes a YOLO‐O model, based on YOLOv7, for improved detection of tiny vehicles on roads. Enhancements like residual networks, Squeeze and Excitation Network (SENet), coordinate attention, and SIoU regression loss boost precision, especially for small objects.
Rabbia Mahum, Usama Irshad, Ahmed M. El‐Sherbeeny, Mohammad Shehab, Seongkwan Mark Lee   +4 more
wiley   +1 more source