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

Authors :
Conde, Marcos V.
Vasluianu, Florin-Alexandru
Timofte, Radu
Zhang, Jianxing
Li, Jia
Wang, Fan
Li, Xiaopeng
Liu, Zikun
Park, Hyunhee
Song, Sejun
Kim, Changho
Huang, Zhijuan
Yu, Hongyuan
Wan, Cheng
Xiang, Wending
Lin, Jiamin
Zhong, Hang
Zhang, Qiaosong
Sun, Yue
Yin, Xuanwu
Zuo, Kunlong
Xu, Senyan
Jiang, Siyuan
Sun, Zhijing
Zhu, Jiaying
Li, Liangyan
Chen, Ke
Li, Yunzhe
Ning, Yimo
Zhao, Guanhua
Chen, Jun
Yu, Jinyang
Xu, Kele
Xu, Qisheng
Dou, Yong
Publication Year :
2024

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.<br />Comment: CVPR 2024 - NTIRE Workshop

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2404.16223
Document Type :
Working Paper