NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images

This paper reviews the first challenge on spectral image reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. The challenge was divided into 2 tracks: the "Clean" track sought HS recovery from noiseless RGB images obta...

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Veröffentlicht in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) S. 1042 - 104209
Hauptverfasser:	Arad, Boaz, Liu, Dong, Wu, Feng, Lanaras, Charis, Galliani, Silvano, Schindler, Konrad, Stiebel, Tarek, Koppers, Simon, Seltsam, Philipp, Zhou, Ruofan, El Helou, Majed, Ben-Shahar, Ohad, Lahoud, Fayez, Shahpaski, Marjan, Zheng, Ke, Gao, Lianru, Zhang, Bing, Cui, Ximin, Yu, Haoyang, Can, Yigit Baran, Alvarez-Gila, Aitor, van de Weijer, Joost, Timofte, Radu, Garrote, Estibaliz, Galdran, Adrian, Sharma, Manoj, Koundinya, Sriharsha, Upadhyay, Avinash, Manekar, Raunak, Mukhopadhyay, Rudrabha, Sharma, Himanshu, Chaudhury, Santanu, Nagasubramanian, Koushik, Van Gool, Luc, Ghosal, Sambuddha, Singh, Asheesh K., Singh, Arti, Ganapathysubramanian, Baskar, Sarkar, Soumik, Zhang, Lei, Yang, Ming-Hsuan, Xiong, Zhiwei, Chen, Chang, Shi, Zhan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2018
Schlagworte:	Cameras Hyperspectral imaging Image reconstruction Neural networks Runtime Training
ISSN:	2160-7516
Online-Zugang:	Volltext
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