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InfoResearchPeer-reviewed
FreqTransNet: A Frequency-Aware Transformer Network for Robust Image Watermarking
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Summary
FreqTransNet is a deep learning image watermarking model that combines convolutional modules, Transformer structures and frequency-domain transformations. The authors report that it outperforms existing state-of-the-art deep learning watermarking approaches in visual quality and robustness. Compared with the best-performing baseline, it raises PSNR by 3.09 dB (from 47.46 dB to 50.55 dB) and keeps extraction accuracy above 97% under various attack scenarios.