Deep Image Watermarking to JPEG Compression Based on Mixed-Frequency Channel Attention.

Tan J, Hu Y, Shi Z, Wang B

DOI: 10.1155/2022/9880038
Published: 2022
Container: Computational and mathematical methods in medicine
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1155/2022/9880038,
  title = {Deep Image Watermarking to JPEG Compression Based on Mixed-Frequency Channel Attention.},
  author = {Tan J and Hu Y and Shi Z and Wang B},
  year = {2022},
  journal = {Computational and mathematical methods in medicine},
  doi = {10.1155/2022/9880038},
  url = {https://doi.org/10.1155/2022/9880038}
}

RIS

TY  - JOUR
TI  - Deep Image Watermarking to JPEG Compression Based on Mixed-Frequency Channel Attention.
AU  - Tan J
AU  - Hu Y
AU  - Shi Z
AU  - Wang B
PY  - 2022
JO  - Computational and mathematical methods in medicine
DO  - 10.1155/2022/9880038
UR  - https://doi.org/10.1155/2022/9880038
ER  -

APA

J, T., Y, H., Z, S., & B, W. (2022). Deep Image Watermarking to JPEG Compression Based on Mixed-Frequency Channel Attention.. Computational and mathematical methods in medicine. https://doi.org/10.1155/2022/9880038

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pubmed · retrieved 2026-09-25T23:45:19.412Z