ZWNet: A Deep-Learning-Powered Zero-Watermarking Scheme with High Robustness and Discriminability for Images

ZWNet: A Deep-Learning-Powered Zero-Watermarking Scheme with High Robustness and Discriminability for Images

In order to safeguard image copyrights, zero-watermarking technology extracts robust features and generates watermarks without altering the original image. Traditional zero-watermarking methods rely on handcrafted feature descriptors to enhance their performance. With the advancement of deep learnin...

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Bibliographic Details
Main Authors: Can Li, Hua Sun, Changhong Wang, Sheng Chen, Xi Liu, Yi Zhang, Na Ren, Deyu Tong
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
zero-watermarking
deep learning
robustness
discriminability
ConvNeXt
LK-PAN
Online Access:https://www.mdpi.com/2076-3417/14/1/435

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https://www.mdpi.com/2076-3417/14/1/435

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