MIPI 2023 Challenge on RGBW Remosaic: Methods and Results
- URL: http://arxiv.org/abs/2304.10551v1
- Date: Thu, 20 Apr 2023 05:12:42 GMT
- Title: MIPI 2023 Challenge on RGBW Remosaic: Methods and Results
- Authors: Qianhui Sun, Qingyu Yang, Chongyi Li, Shangchen Zhou, Ruicheng Feng,
Yuekun Dai, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu
- Abstract summary: 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.
A detailed description of the top three models developed in this challenge is provided in this paper.
- Score: 88.53703757370016
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: 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/.
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