Enhancement of CNN-based Probability Modeling by Locally Trained Adaptive Prediction for Efficient Lossless Image Coding

Keisuke Kaji, Yasuyo Kita, Ichiro Matsuda, Susumu Itoh, Yusuke Kameda. Enhancement of CNN-based Probability Modeling by Locally Trained Adaptive Prediction for Efficient Lossless Image Coding. In Picture Coding Symposium, PCS 2022, San Jose, CA, USA, December 7-9, 2022. pages 79-83, IEEE, 2022. [doi]

@inproceedings{KajiKMIK22,
  title = {Enhancement of CNN-based Probability Modeling by Locally Trained Adaptive Prediction for Efficient Lossless Image Coding},
  author = {Keisuke Kaji and Yasuyo Kita and Ichiro Matsuda and Susumu Itoh and Yusuke Kameda},
  year = {2022},
  doi = {10.1109/PCS56426.2022.10018003},
  url = {https://doi.org/10.1109/PCS56426.2022.10018003},
  researchr = {https://researchr.org/publication/KajiKMIK22},
  cites = {0},
  citedby = {0},
  pages = {79-83},
  booktitle = {Picture Coding Symposium, PCS 2022, San Jose, CA, USA, December 7-9, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-9257-7},
}