Digital image watermarking using deep learning: A survey

被引:10
|
作者
Hosny, Khalid M. [1 ]
Magdi, Amal [1 ]
ElKomy, Osama [1 ]
Hamza, Hanaa M. [1 ]
机构
[1] Zagazig Univ, Dept Informat Technol, Zagazig, Egypt
关键词
Image watermarking; Deep learning; Neural networks; WAVELET TRANSFORM; ALGORITHM;
D O I
10.1016/j.cosrev.2024.100662
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Lately, a lot of attention has been paid to securing the ownership rights of digital images. The expanding usage of the Internet causes several problems, including data piracy and data tampering. Image watermarking is a typical method of protecting an image's copyright. Robust watermarking for digital images is a process of embedding watermarks on the cover image and extracting them correctly under different attacks. The embedded watermark might be either visible or invisible. Deep learning extracts image features using neural networks, which are highly effective in feature extraction. Watermarking techniques that utilize deep learning have gained a lot of interest due to their remarkable ability to extract features. This article offers an overview of digital image watermarking and deep learning. This article will discuss several research articles on digital image watermarking in deep-learning environments.
引用
收藏
页数:12
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