Results 21 to 30 of about 1,385 (183)
Unsupervised water scene dehazing network using multiple scattering model.
PLoS ONE, 2021 In water scenes, where hazy images are subject to multiple scattering and where ideal data sets are difficult to collect, many dehazing methods are not as effective as they could be.
Shunmin An +4 more
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High-Resolution Representations Network for Single Image Dehazing
Sensors, 2022 Deep learning-based image dehazing methods have made great progress, but there are still many problems such as inaccurate model parameter estimation and preserving spatial information in the U-Net-based architecture. To address these problems, we propose
Wensheng Han +4 more
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Visual Image Dehazing Using Polarimetric Atmospheric Light Estimation
Applied Sciences, 2023 The precision in evaluating global ambient light profoundly impacts the performance of image-dehazing technologies. Many approaches for quantifying atmospheric light intensity suffer from inaccuracies, leading to a decrease in dehazing effectiveness.
Shuai Liu +5 more
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Image Dehazing Using LiDAR Generated Grayscale Depth Prior
Sensors, 2022 In this paper, the dehazing algorithm is proposed using a one-channel grayscale depth image generated from a LiDAR point cloud 2D projection image. In depth image-based dehazing, the estimation of the scattering coefficient is the most important.
Won Young Chung +2 more
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Fast Execution Schemes for Dark-Channel-Prior-Based Outdoor Video Dehazing
IEEE Access, 2018 This paper studies the dark-channel-prior (DCP)-based dehazing from the implementation perspectives. Several schemes are proposed, in order to realize the fast execution of the DCP-based method targeting the outdoor video dehazing.
Yongmin Park, Tae-Hwan Kim
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Multi-Scale Attention Feature Enhancement Network for Single Image Dehazing
Sensors, 2023 Aiming to solve the problem of color distortion and loss of detail information in most dehazing algorithms, an end-to-end image dehazing network based on multi-scale feature enhancement is proposed.
Weida Dong +4 more
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Multilevel Image Dehazing Algorithm Using Conditional Generative Adversarial Networks
IEEE Access, 2020 In recent years, the hazy weather in China occurs frequently, and image dehazing has gradually become a research hotspot. To improve the dehazing effect of the hazy images, this paper has proposed a multilevel image dehazing algorithm using conditional ...
Kailei Gan, Jieyu Zhao, Hao Chen
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Self-Supervised Remote Sensing Image Dehazing Network Based on Zero-Shot Learning
Remote Sensing, 2023 Traditional dehazing approaches that rely on prior knowledge exhibit limited efficacy when confronted with the intricacies of real-world hazy environments.
Jianchong Wei +4 more
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Remote Sensing Image Dehazing Based on an Attention Convolutional Neural Network
IEEE Access, 2022 Haze may affect the quality of optical remote sensing images, thus limiting the scope of their application. Remote sensing image dehazing has become important in remote sensing image preprocessing, promoting the use of remote sensing data and the ...
Zhijie He, Cailan Gong, Yong Hu, Lan Li
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Multi-level perception fusion dehazing network.
PLoS ONE, 2023 Image dehazing models are critical in improving the recognition and classification capabilities of image-related artificial intelligence systems. However, existing methods often ignore the limitations of receptive field size during feature extraction and
Xiaohua Wu +4 more
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