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NTIRE 2023 HR NonHo...
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report
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Ancuti, Codruta O. (author)
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- Luo, Ziwei (author)
- Uppsala universitet,Avdelningen för systemteknik,Artificiell intelligens
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- Gustafsson, Fredrik K. (author)
- Uppsala universitet,Avdelningen för systemteknik,Artificiell intelligens
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- Zhao, Zheng (author)
- Uppsala universitet,Avdelningen för systemteknik,Artificiell intelligens
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- Sjölund, Jens, Biträdande lektor, 1987- (author)
- Uppsala universitet,Avdelningen för systemteknik,Artificiell intelligens
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- Schön, Thomas B., Professor, 1977- (author)
- Uppsala universitet,Avdelningen för systemteknik,Artificiell intelligens
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Busch, Christoph (author)
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(creator_code:org_t)
- Vancover : Institute of Electrical and Electronics Engineers (IEEE), 2023
- 2023
- English.
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In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). - Vancover : Institute of Electrical and Electronics Engineers (IEEE).
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- This study assesses the outcomes of the NTIRE 2023 Challenge on Non-Homogeneous Dehazing, wherein novel techniques were proposed and evaluated on new image dataset called HD-NH-HAZE. The HD-NH-HAZE dataset contains 50 high resolution pairs of real-life outdoor images featuring nonhomogeneous hazy images and corresponding haze-free images of the same scene. The nonhomogeneous haze was simulated using a professional setup that replicated real-world conditions of hazy scenarios. The competition had 246 participants and 17 teams that competed in the final testing phase, and the proposed solutions demonstrated the cutting-edge in image dehazing technology.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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