@inproceedings{a34e01aea2a046f8a6c2f8476e4adf09,
title = "MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report",
abstract = "Developing and integrating advanced image sensors with novel algorithms in camera systems is 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 in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). To bridge the gap, we introduce the first MIPI challenge including five tracks focusing on novel image sensors and imaging algorithms. In this paper, RGBW Joint Remosaic and Denoise, one of the five tracks, working on the interpolation of RGBW CFA to Bayer at full-resolution is introduced. The participants were provided with a new dataset including 70 (training) and 15 (validation) scenes of high-quality RGBW and Bayer pair. In addition, for each scene, RGBW of different noise level were provided at 0 dB, 24 dB and 42 dB. All the data were captured using a RGBW sensor in both outdoor and indoor conditions. The final results are evaluated using objective metrics including PSNR, SSIM [5], LPIPS [7] and KLD. A detailed description of all models developed in this challenge is provided in this paper. More details of this challenge and the link to the dataset can be found in https://github.com/mipi-challenge/MIPI2022.",
keywords = "Bayer, Denoise, MIPI challenge, RGBW, Remosaic",
author = "Qingyu Yang and Guang Yang and Jun Jiang and Chongyi Li and Ruicheng Feng and Shangchen Zhou and Wenxiu Sun and Qingpeng Zhu and Loy, \{Chen Change\} and Jinwei Gu and Lingchen Sun and Rongyuan Wu and Qiaosi Yi and Rongjian Xu and Xiaohui Liu and Zhilu Zhang and Xiaohe Wu and Ruohao Wang and Junyi Li and Wangmeng Zuo and Faming Fang",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Workshops held at the 17th European Conference on Computer Vision, ECCV 2022 ; Conference date: 23-10-2022 Through 27-10-2022",
year = "2023",
doi = "10.1007/978-3-031-25072-9\_3",
language = "英语",
isbn = "9783031250712",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "36--45",
editor = "Leonid Karlinsky and Tomer Michaeli and Ko Nishino",
booktitle = "Computer Vision – ECCV 2022 Workshops, Proceedings",
address = "德国",
}