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

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

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

Zhilu Zhang, Shuohao Zhang, Renlong Wu, Wangmeng Zuo, Radu Timofte, Xiaoxia Xing, Hyunhee Park, Sejun Song, Changho Kim, Xiangyu Kong, Jinlong Wu, Jianxing Zhang, Jingfan Tan, Zikun Liu, Wenhan Luo, Wenjie Lin, Chengzhi Jiang, Mingyan Han, Zhen Liu, Ting Jiang, Jinting Luo, Shen Cheng, Linze Li, Xinhan Niu, Shuaicheng Liu, Kexin Dai, Kangzhen Yang, Tao Hu, Xiangyu Chen, Yu Cao, Qingsen Yan, Yanning Zhang, Genggeng Chen, Yongqing Yang, Wei Dong, Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Peng Zhang, Yifei Chen, Wenbo Xiong, Zhijun Song, Pu Cheng, Taolue Feng, Yunqing He, Daiguo Zhou, Ying Huang, Xiaowen Ma, Peng Wu; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 6153-6166

Abstract

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.

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@InProceedings{Zhang_2024_CVPR, author = {Zhang, Zhilu and Zhang, Shuohao and Wu, Renlong and Zuo, Wangmeng and Timofte, Radu and Xing, Xiaoxia and Park, Hyunhee and Song, Sejun and Kim, Changho and Kong, Xiangyu and Wu, Jinlong and Zhang, Jianxing and Tan, Jingfan and Liu, Zikun and Luo, Wenhan and Lin, Wenjie and Jiang, Chengzhi and Han, Mingyan and Liu, Zhen and Jiang, Ting and Luo, Jinting and Cheng, Shen and Li, Linze and Niu, Xinhan and Liu, Shuaicheng and Dai, Kexin and Yang, Kangzhen and Hu, Tao and Chen, Xiangyu and Cao, Yu and Yan, Qingsen and Zhang, Yanning and Chen, Genggeng and Yang, Yongqing and Dong, Wei and Dai, Xinwei and Zhou, Yuanbo and Qiu, Xintao and Tang, Hui and Deng, Wei and Gao, Qingquan and Tong, Tong and Zhang, Peng and Chen, Yifei and Xiong, Wenbo and Song, Zhijun and Cheng, Pu and Feng, Taolue and He, Yunqing and Zhou, Daiguo and Huang, Ying and Ma, Xiaowen and Wu, Peng}, title = {NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets Methods and Results}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6153-6166} }