CSIDNet: Compact single image dehazing network for outdoor scene enhancement
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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
Unsupervised water scene dehazing network using multiple scattering model
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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