Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey
Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte and, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu and, Hyunhee Park, Sejun Song, Changho Kim, Zhijuan Huang, Hongyuan Yu, and Cheng Wan, Wending Xiang, Jiamin Lin, Hang Zhong, Qiaosong, Zhang, Yue Sun
TL;DR
This paper surveys the NTIRE 2024 RAW Image Super-Resolution Challenge, showcasing recent solutions and results, and highlighting the importance of RAW super-resolution in modern image processing pipelines.
Contribution
It provides a comprehensive review of challenge solutions and results, emphasizing the emerging importance of RAW super-resolution methods.
Findings
Top-5 methods demonstrate current state-of-the-art performance
230 participants registered, 45 submissions received
RAW super-resolution is a promising but underexplored area
Abstract
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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Taxonomy
TopicsAdvanced Image Processing Techniques · Advanced Vision and Imaging · Image Processing Techniques and Applications