NTIRE 2018 Challenge on Image Dehazing: Methods and Results

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This paper reviews the 2nd NTIRE challenge on single image super-resolution (restoration of rich details in a low resolution image) with focus on proposed solutions and results. The challenge had 4 tracks. Track 1 employed the standard bicubic downscaling setup, while Tracks 2, 3 and 4 had realistic unknown downgrading operators simulating camera image acquisition pipeline. The operators were learnable through provided pairs of low and high resolution train images. The tracks had 145, 114, 101, and 113 registered participants, resp., and 31 teams competed in the final testing phase. They gauge the state-of-the-art in single image super-resolution.
Publisher
IEEE Computer Society and the Computer Vision Foundation (CVF)
Issue Date
2018-06-18
Language
English
Citation

IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), pp.965 - 976

DOI
10.1109/CVPRW.2018.00134
URI
http://hdl.handle.net/10203/247465
Appears in Collection
EE-Conference Papers(학술회의논문)
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