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NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan Sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi
CVPRW 2020 pp. 1806-1822
doi:10.1109/CVPRW50498.2020.00231 /cvprw/2020/arad2020cvprw-ntire/

Abstract

This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole- scene hyperspectral (HS) information from a 3-channel RGB image. As in the previous challenge, two tracks were provided: (i) a "Clean" track where HS images are estimated from noise-free RGBs, the RGB images are themselves calculated numerically using the ground-truth HS images and supplied spectral sensitivity functions (ii) a "Real World" track, simulating capture by an uncalibrated and unknown camera, where the HS images are recovered from noisy JPEG-compressed RGB images. A new, larger-than-ever, natural hyperspectral image data set is presented, containing a total of 510 HS images. The Clean and Real World tracks had 103 and 78 registered participants respectively, with 14 teams competing in the final testing phase. A description of the proposed methods, alongside their challenge scores and an extensive evaluation of top performing methods is also provided. They gauge the state-of-the-art in spectral reconstruction from an RGB image.

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Cite

Text

Arad et al. "NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020. doi:10.1109/CVPRW50498.2020.00231

Markdown

[Arad et al. "NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020.](https://mlanthology.org/cvprw/2020/arad2020cvprw-ntire/) doi:10.1109/CVPRW50498.2020.00231

BibTeX

@inproceedings{arad2020cvprw-ntire,
  title     = {{NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image}},
  author    = {Arad, Boaz and Timofte, Radu and Ben-Shahar, Ohad and Lin, Yi-Tun and Finlayson, Graham D. and Givati, Shai and Li, Jiaojiao and Wu, Chaoxiong and Song, Rui and Li, Yunsong and Liu, Fei and Lang, Zhiqiang and Wei, Wei and Zhang, Lei and Nie, Jiangtao and Zhao, Yuzhi and Po, Lai-Man and Yan, Qiong and Liu, Wei and Lin, Tingyu and Kim, Youngjung and Shin, Changyeop and Rho, Kyeongha and Kim, Sungho and Zhu, Zhiyu and Hou, Junhui and Sun, He and Ren, Jinchang and Fang, Zhenyu and Yan, Yijun and Peng, Hao and Chen, Xiaomei and Zhao, Jie and Stiebel, Tarek and Koppers, Simon and Merhof, Dorit and Gupta, Honey and Mitra, Kaushik and Fubara, Biebele Joslyn and Sedky, Mohamed H. and Dyke, Dave and Banerjee, Atmadeep and Palrecha, Akash and Sabarinathan, Sabarinathan and Uma, K. and Vinothini, D. Synthiya and Bama, B. Sathya and Roomi, S. M. Md Mansoor},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2020},
  pages     = {1806-1822},
  doi       = {10.1109/CVPRW50498.2020.00231},
  url       = {https://mlanthology.org/cvprw/2020/arad2020cvprw-ntire/}
}