Interpretable Multiple Loss Functions in A Low-Rank Deep Image Prior Based Method For Single Hyperspectral Image Super-Resolution

Tatiana Gelvez, Jorge Bacca, Henry Arguello. Interpretable Multiple Loss Functions in A Low-Rank Deep Image Prior Based Method For Single Hyperspectral Image Super-Resolution. In 29th European Signal Processing Conference, EUSIPCO 2021, Dublin, Ireland, August 23-27, 2021. pages 696-700, IEEE, 2021. [doi]

@inproceedings{GelvezBA21,
  title = {Interpretable Multiple Loss Functions in A Low-Rank Deep Image Prior Based Method For Single Hyperspectral Image Super-Resolution},
  author = {Tatiana Gelvez and Jorge Bacca and Henry Arguello},
  year = {2021},
  doi = {10.23919/EUSIPCO54536.2021.9616146},
  url = {https://doi.org/10.23919/EUSIPCO54536.2021.9616146},
  researchr = {https://researchr.org/publication/GelvezBA21},
  cites = {0},
  citedby = {0},
  pages = {696-700},
  booktitle = {29th European Signal Processing Conference, EUSIPCO 2021, Dublin, Ireland, August 23-27, 2021},
  publisher = {IEEE},
  isbn = {978-9-0827-9706-0},
}