NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution
Marcos V. Conde, Radu Timofte, Zihao Lu, Xiangyu Kong, Xiaoxia Xing, Fan Wang, Suejin Han, Minkyu Park, Tianyu Zhang, Xin Luo, Yeda Chen, Dong Liu, Li Pang, Yuhang Yang, Hongzhong Wang, Xiangyong Cao, Ruixuan Jiang, Senyan Xu, Siyuan Jiang, Xueyang Fu, Zheng-Jun Zha, Tianyu Hao, Yuhong He, Ruoqi Li, Yueqi Yang, Xiang Yu, Guanlan Hong, Minmin Yi, Yuanjia Chen, Liwen Zhang, Zijie Jin, Cheng Li, Lian Liu, Wei Song, Heng Sun, YuBo Wang, Jinghua Wang, Jiajie Lu, Watchara Ruangsan
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This paper reviews the NTIRE 2025 RAW Image Restoration and Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Restoration and Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem is not as explored as in the RGB domain. The goal of this challenge is two fold, (i) restore RAW images with blur and noise degradations, (ii) upscale RAW Bayer images by 2x, considering unknown noise and blur. In the challenge, a total of 230 participants registered, and 45 submitted results during thee challenge period. This report presents the current state-of-the-art in RAW Restoration.