Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobile platforms. However, the lack of high-quality data for research and the rare opportunity for an in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). With the success of the 1st MIPI Workshop@ECCV 2022, we introduce the second MIPI challenge, including four tracks focusing on novel image sensors and imaging algorithms. This paper summarizes and reviews the RGBW Joint Remosaic and Denoise track on MIPI 2023. In total, 81 participants were successfully registered, and 4 teams submitted results in the final testing phase. The final results are evaluated using objective metrics, including PSNR, SSIM, LPIPS, and KLD. A detailed description of the top three models developed in this challenge is provided in this paper. More details of this challenge and the link to the dataset can be found at https://mipi-challenge.org/MIPI2023/.

翻译：随着移动平台对计算摄影和成像需求的日益增长，将先进图像传感器与新型算法集成至相机系统的技术愈发普及。然而，高质量研究数据的匮乏以及业界与学术界深入交流机会的稀缺，制约了移动智能摄影与成像（MIPI）技术的发展。继首届MIPI研讨会@ECCV 2022成功举办后，我们推出了第二届MIPI挑战赛，包含四个聚焦新型图像传感器与成像算法的赛道。本文总结并回顾了MIPI 2023 RGBW联合重马赛克与去噪赛道。共有81名参与者成功注册，其中4支队伍在最终测试阶段提交了结果。最终结果采用客观指标评估，包括PSNR、SSIM、LPIPS和KLD。本文详细介绍了该挑战赛中排名前三的模型。更多挑战赛详情及数据集链接请访问 https://mipi-challenge.org/MIPI2023/。