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NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results

Low-light photography presents significant challenges. Multi-image processing methods have made numerous attempts to obtain high-quality photos, yet remain unsatisfactory. Recently, bracketing image restoration and enhancement has received increased attention. By leveraging the full potential of mul...

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Bibliographic Details
Main Authors: Zhang, Zhilu, Zhang, Shuohao, Wu, Renlong, Zuo, Wangmeng, Timofte, Radu, Xing, Xiaoxia, Park, Hyunhee, Song, Sejun, Kim, Changho, Kong, Xiangyu, Wu, Jinlong, Zhang, Jianxing, Tan, Jingfan, Liu, Zikun, Luo, Wenhan, Lin, Wenjie, Jiang, Chengzhi, Han, Mingyan, Liu, Zhen, Jiang, Ting, Luo, Jinting, Cheng, Shen, Li, Linze, Niu, Xinhan, Liu, Shuaicheng, Dai, Kexin, Yang, Kangzhen, Hu, Tao, Chen, Xiangyu, Cao, Yu, Yan, Qingsen, Zhang, Yanning, Chen, Genggeng, Yang, Yongqing, Dong, Wei, Dai, Xinwei, Zhou, Yuanbo, Qiu, Xintao, Tang, Hui, Deng, Wei, Gao, Qingquan, Tong, Tong, Zhang, Peng, Chen, Yifei, Xiong, Wenbo, Song, Zhijun, Cheng, Pu, Feng, Taolue, He, Yunqing, Zhou, Daiguo, Huang, Ying, Ma, Xiaowen, Wu, Peng
Format: Conference Proceeding
Language:English
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Summary:Low-light photography presents significant challenges. Multi-image processing methods have made numerous attempts to obtain high-quality photos, yet remain unsatisfactory. Recently, bracketing image restoration and enhancement has received increased attention. By leveraging the full potential of multi-exposure images, several tasks (including denoising, deblurring, high dynamic range enhancement, and super-resolution) can be jointly addressed. This paper reviews the NTIRE 2024 challenge on bracketing image restoration and enhancement. In the challenge, participants are required to process multi-exposure RAW images to generate noise-free, blur-free, high dynamic range, and even higher-resolution RAW images. The challenge comprises two tracks. Track 1 does not incorporate the super-resolution task, whereas Track 2 does. Each track featured five teams participating in the final testing phase. The proposed methods establish new state-of-the-art performance benchmarks.
ISSN:2160-7516
DOI:10.1109/CVPRW63382.2024.00620