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Published in 2020 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2019.10.065
Abstract: Abstract Outdoor videos captured in rainy weather may be significantly corrupted by the undesired rain streaks, which severely affect the video processing tasks in outdoor computer vision systems. In this paper, we propose a tensor-based…
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Keywords:
video;
nonlocal low;
rain streaks;
rank regularization ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.08.025
Abstract: Abstract Removing rain streaks from single image is mathematically ill-defined and the known strategies tend to over-smooth the background and remove image details. To tackle this problem, this paper proposes a novel two-stage system. Firstly,…
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Keywords:
rain;
image;
rain streaks;
texture constraint ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tap.2022.3218759
Abstract: Existing deraining methods focus mainly on a single input image. However, with just a single input image, it is extremely difficult to accurately detect and remove rain streaks, in order to restore a rain-free image.…
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Keywords:
light field;
lfis;
sub views;
rain streaks ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3063853
Abstract: Raining is a common weather condition, and may seriously degrade the performances of outdoor computer vision systems, such as surveillance and autonomous navigation. Rain streaks may exhibit diverse appearances in the captured images, depending on…
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Keywords:
rain streaks;
sub aperture;
rain;
aperture views ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3068985
Abstract: Rain streaks are one of the main factors that degrade the performance of computer vision algorithms. Therefore, a preprocessing method is needed to remove rain streaks from rainy images. The main issue of the rain…
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Keywords:
elementwise attentive;
rain;
attentive gating;
rain streaks ... See more keywords
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Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2708841
Abstract: Rain streaks impair visibility of an image and introduce undesirable interference that can severely affect the performance of computer vision and image analysis systems. Rain streak removal algorithms try to recover a rain streak free…
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Keywords:
rain streak;
rain streaks;
decomposition;
single image ... See more keywords
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Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2869722
Abstract: In this paper, we address the problem of video rain removal by considering rain occlusion regions, i.e., very low light transmittance for rain streaks. Different from additive rain streaks, in such occlusion regions, the details…
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Keywords:
rain;
recurrent;
dynamic routing;
d3r net ... See more keywords
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Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3272173
Abstract: Single-image deraining aims to restore the image that is degraded by the rain streaks, where the long-standing bottleneck lies in how to disentangle the rain streaks from the given rainy image. Despite the progress made…
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Keywords:
underline underline;
network;
rain streaks;
single image ... See more keywords
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Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3015897
Abstract: Recently emerged deep learning methods have achieved great success in single image rain streaks removal. However, existing methods ignore an essential factor in the rain streaks generation mechanism, i.e., the motion blur leading to the…
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Keywords:
neural network;
streaks removal;
rain streaks;
image ... See more keywords