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NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Publication Type:
Conference Proceeding
Citation:
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2017, 2017-July pp. 1110 - 1121
Issue Date:
2017-08-22
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08014883.pdfPublished version1.31 MB
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Abstract:
© 2017 IEEE. This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results. A new DIVerse 2K resolution image dataset (DIV2K) was employed. The challenge had 6 competitions divided into 2 tracks with 3 magnification factors each. Track 1 employed the standard bicubic downscaling setup, while Track 2 had unknown downscaling operators (blur kernel and decimation) but learnable through low and high res train images. Each competition had b∼100 registered participants and 20 teams competed in the final testing phase. They gauge the state-of-the-art in single image super-resolution.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10453/126803

Faculty of Engineering and Information Technology
General Collection