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   Articles with "dehazing network" as a keyword



CSIDNet: Compact single image dehazing network for outdoor scene enhancement

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recommendations! Published in 2020 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-020-09496-z

Abstract: This paper proposes a novel deep learning-based single image dehazing network named as Compact Single Image Dehazing Network (CSIDNet) for outdoor scene enhancement. CSIDNet directly outputs a haze-free image from the given hazy input. The… read more here.

Keywords: image; image dehazing; csidnet; dehazing network ... See more keywords

NLDN: Non-local dehazing network for dense haze removal

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.06.041

Abstract: Abstract Single image dehazing is one of the most challenging and important tasks in computer vision and image processing. In this paper, we propose a Non-local Dehazing Network (NLDN), which learns the mapping between hazy… read more here.

Keywords: local dehazing; non local; part; network ... See more keywords

Stereo Refinement Dehazing Network

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recommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2021.3105685

Abstract: The performance of stereo vision tasks degrades when haze exists in the input stereo image pair. Independently applying single image dehazing algorithm on left and right images is not optimal. To overcome the problem, we… read more here.

Keywords: refinement; srdnet; stereo; image ... See more keywords

Semantic-Aware Dehazing Network With Adaptive Feature Fusion.

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recommendations! Published in 2021 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2021.3124231

Abstract: Despite that convolutional neural networks (CNNs) have shown high-quality reconstruction for single image dehazing, recovering natural and realistic dehazed results remains a challenging problem due to semantic confusion in the hazy scene. In this article,… read more here.

Keywords: dehazing network; semantic aware; network adaptive; semantic prior ... See more keywords

An Unsupervised Dehazing Network With Hybrid Prior Constraints for Hyperspectral Image

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3388245

Abstract: Haze pollution in hyperspectral images (HSIs) leads to surface information lack and image clarity degradation, which seriously affects the performance of subsequent image interpretation. Existing model-based hyperspectral haze removal methods enjoy good interpretability and generalization,… read more here.

Keywords: dehazing network; network hybrid; image; unsupervised dehazing ... See more keywords

Unsupervised water scene dehazing network using multiple scattering model

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recommendations! Published in 2021 at "PLoS ONE"

DOI: 10.1371/journal.pone.0253214

Abstract: 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. Therefore, an unsupervised water… read more here.

Keywords: image; scattering model; water; multiple scattering ... See more keywords