Results 31 to 40 of about 303 (154)
Efficient Haze Removal from a Single Image Using a DCP-Based Lightweight U-Net Neural Network Model
SensorsIn this paper, we propose a lightweight U-net architecture neural network model based on Dark Channel Prior (DCP) for efficient haze (fog) removal with a single input. The existing DCP requires high computational complexity in its operation.
Yunho Han +5 more
doaj +1 more source
Domain Adaptation for Image Dehazing [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Image dehazing using learning-based methods has achieved state-of-the-art performance in recent years. However, most existing methods train a dehazing model on synthetic hazy images, which are less able to generalize well to real hazy images due to domain shift.
Yuanjie Shao +4 more
openaire +3 more sources
Efficient Dehazing Method for Outdoor and Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 As an atmospheric phenomenon, haze significantly reduces the visibility of outdoor and remote sensing images. As remote sensing and outdoor imaging have different mechanisms, existing dehazing methods are hard to be applied for both outdoor images and ...
Chenyang Li +6 more
doaj +1 more source
Applied Sciences, 2023 To address the issue of blurred images generated during ice wind tunnel tests, we propose a high-resolution dense-connection GAN model, named Dense-HR-GAN.
Wenjun Zhou +4 more
doaj +1 more source
A Ship Tracking and Speed Extraction Framework in Hazy Weather Based on Deep Learning
Journal of Marine Science and Engineering, 2023 Obtaining ship navigation information from maritime videos can significantly improve maritime supervision efficiency and enable timely safety warnings. Ship detection and tracking are essential technologies for mining video information.
Zhenzhen Zhou +3 more
doaj +1 more source
Task‐Aligned Haze Removal With Semantic‐Aware Fusion and Contrast Self‐Correction
CAAI Transactions on Intelligence Technology, Volume 11, Issue 4, Page 978-993, August 2026.ABSTRACT Adverse haze conditions introduce complex degradations that obscure scene details and distort structural cues critical for object detection, posing persistent challenges for vision‐based sensing systems. Although existing haze removal methods have achieved notable improvements in visual clarity, their optimisation objectives are often ...
Jinbin Wang +5 more
wiley +1 more source
Semi‐supervised learning dehazing algorithm based on the OSV model
IET Image Processing, 2023 Despite the great progress that has been made in the task of single image dehazing, the results of the existing models in restoring image edge and texture information are still challenging.
Lijun Zhu +5 more
doaj +1 more source
Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 709-725, June 2026.ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley +1 more source
Tongxin xuebao, 2017 Aiming at image degradation in hazy and sandstorm weather,an optical compensation color restoration and pixel-by-pixel transmissvity estimation algorithm was proposed.The blue light was absorbed by sandstorm particles.The color shift phenomenon could be ...
Yan YANG, Gao-ke CHEN
doaj +2 more sources