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Summary
This dataset includes two newly synthesized visible watermark datasets in the TIFS 2025 paper: New Visible Watermark Protection Mechanism Based on Information Hiding
intended for:
--- Watermark Protection / Data Copyright and Ownership Verification / Watermark Removal / Robust Watermark Detection / Blind Watermark Localization / Other related tasks
Dataset Partitioning
There are two dataset:
LOGO-Multi:
- Contains images with multiple grayscale and colored watermarks
- Watermarks vary in size, position, and transparency
LOGO-Full:
- Contains images where a single watermark covers the entire image content
- Watermarks vary in different watermarked images
Each subset includes:
- 12,000 training samples
- 2,000 testing samples
These two new datasets are constructed based on the LOGO-series datasets described in:
Cun X, Pun C M. “Split then refine: Stacked attention-guided ResUNets for blind single image visible watermark removal.” AAAI Conference on Artificial Intelligence. 2021, 35(2): 1184–1192.
Dataset Contents
Each sample includes:
- Watermarked image
- Watermark
- Mask
- Original image
Citation
BibTeX
@article{huang2025new,
title={New Visible Watermark Protection Mechanism Based on Information Hiding},
author={Huang, Wenhong and Dai, Yunshu and Fei, Jianwei and Huang, Fangjun},
journal={IEEE Transactions on Information Forensics and Security},
year={2025},
volume={20},
pages={7764-7776},
doi={10.1109/TIFS.2025.3592572}
publisher={IEEE}
}
Plain Text
W. Huang, Y. Dai, J. Fei and F. Huang, "New Visible Watermark Protection Mechanism Based on Information Hiding," in IEEE Transactions on Information Forensics and Security, vol. 20, pp. 7764-7776, 2025, doi: 10.1109/TIFS.2025.3592572. keywords: {Watermarking;Perturbation methods;Visualization;Protection;Image restoration;Discrete wavelet transforms;Couplings;Symbols;Media;Data mining;Visible watermark;adversarial attack;watermark removal;copyright protection;data hiding},
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