DePhaseNet: A deep convolutional network using phase differentiated layers and frequency based custom loss for RGBW image sensor demosaicing

Irina Kim, Youngil Seo, Dongpan Lim, Jeongguk Lee, Wooseok Choi, Seongwook Song. DePhaseNet: A deep convolutional network using phase differentiated layers and frequency based custom loss for RGBW image sensor demosaicing. In Jon S. McElvain, Arnaud Peizerat, Nitin Sampat, editors, Imaging Sensors and Systems 2022, online, January 15-26, 2022. pages 1-5, Society for Imaging Science and Technology, 2022. [doi]

@inproceedings{KimSLLCS22,
  title = {DePhaseNet: A deep convolutional network using phase differentiated layers and frequency based custom loss for RGBW image sensor demosaicing},
  author = {Irina Kim and Youngil Seo and Dongpan Lim and Jeongguk Lee and Wooseok Choi and Seongwook Song},
  year = {2022},
  doi = {10.2352/EI.2022.34.7.ISS-200},
  url = {https://doi.org/10.2352/EI.2022.34.7.ISS-200},
  researchr = {https://researchr.org/publication/KimSLLCS22},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {Imaging Sensors and Systems 2022, online, January 15-26, 2022},
  editor = {Jon S. McElvain and Arnaud Peizerat and Nitin Sampat},
  publisher = {Society for Imaging Science and Technology},
}