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

2024-04-24 21:51:01
Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu, 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

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.

Abstract (translated)

本文回顾了NTIRE 2024 RAW图像超分辨率挑战,重点关注所提出的解决方案和结果。在现代图像信号处理(ISP)流程中,RAW超分辨率的新方法可能至关重要,然而,与RGB领域相比,这个问题并没有被广泛探讨。挑战的目标是将RAW Bayer图像的分辨率提高2倍,考虑到未知的降噪和模糊等损失。在挑战期间,共有230名参与者注册,45名提交了结果。对挑战前五名提交者的性能进行了审查,并提供了一个用于评估RAW图像超分辨率当前状态的指标。

URL

https://arxiv.org/abs/2404.16223

PDF

https://arxiv.org/pdf/2404.16223.pdf


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