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Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey

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arxiv 2404.16223 v1 pith:GZDOCHWI submitted 2024-04-24 cs.CV eess.IV

Marcos V. Conde , Florin-Alexandru Vasluianu , Radu Timofte , Jianxing Zhang , Jia Li , Fan Wang , Xiaopeng Li , Zikun Liu
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Hyunhee Park Sejun Song Changho Kim Zhijuan Huang Hongyuan Yu Cheng Wan Wending Xiang Jiamin Lin Hang Zhong Qiaosong Zhang Yue Sun Xuanwu Yin Kunlong Zuo Senyan Xu Siyuan Jiang Zhijing Sun Jiaying Zhu Liangyan Li Ke Chen Yunzhe Li Yimo Ning Guanhua Zhao Jun Chen Jinyang Yu Kele Xu Qisheng Xu Yong Dou
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classification cs.CVeess.IV
keywords challengeimagesuper-resolutionntireresultsbayerblurconsidering
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem is not as explored as in the RGB domain. Th goal of this challenge is to upscale RAW Bayer images by 2x, considering unknown degradations such as noise and blur. In the challenge, a total of 230 participants registered, and 45 submitted results during thee challenge period. The performance of the top-5 submissions is reviewed and provided here as a gauge for the current state-of-the-art in RAW Image Super-Resolution.

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