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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938218
Abstract: The haze removal technique refers to the process of reconstructing haze-free images from scenes of inclement weather conditions. This task has an extensive demand in practical applications. At present, models based on deep convolution neural…
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Keywords:
haze;
convolution;
haze removal;
aggregated resolution ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3188774
Abstract: The image haze removal algorithm is challenging regarding computational processing speed and the hazy removal effect. Instead of using the local patch approach, which assumes the scene transmission to be locally constant and uses various…
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Keywords:
removal;
haze removal;
method;
minimum channel ... See more keywords
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Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3013741
Abstract: In the task of haze scene restoration, dark channel prior is the most convincing theory. Its biggest contribution is to introduce the concept of dark channel map, which is convenient for acquiring initial transmission. Minimum…
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Keywords:
channel map;
haze removal;
dark channel;
edge ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3114601
Abstract: Single image haze removal, which is to recover the clear version of a hazy image, is a challenging task in computer vision. In this paper, an additive haze model is proposed to approximate the hazy…
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Keywords:
single image;
image haze;
haze removal;
haze ... See more keywords
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Published in 2023 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2023.3238640
Abstract: Single-image haze removal is challenging due to its ill-posed nature. The breadth of real-world scenarios makes it difficult to find an optimal dehazing approach that works well for various applications. This article addresses this challenge…
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Keywords:
quaternion;
image dehazing;
single image;
haze removal ... See more keywords
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Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2837900
Abstract: Photography of hazy scene typically suffers from low-contrast which degrades the visibility of the scene. The performance of single-image dehazing methods is limited by the priors or constraints. In this paper, we present an effective…
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Keywords:
scene prior;
scene;
image;
haze removal ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3141252
Abstract: Influenced by glowing effects, nighttime haze removal is a challenging ill-posed task. Existing nighttime dehazing methods usually result in glowing artifacts, color shifts, overexposure, and noise amplification. Thus, through statistical and theoretical analyses, we propose…
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Keywords:
haze line;
color;
haze removal;
haze ... See more keywords