Digital image watermarking using deep learning: A survey

数字水印 计算机科学 水印 人工智能 深度学习 图像(数学) 互联网 数字图像 计算机视觉 特征提取 特征(语言学) 计算机安全 图像处理 万维网 语言学 哲学
作者
Khalid M. Hosny,Amal Magdi,Osama M. Elkomy,Hanaa M. Hamza
出处
期刊:Computer Science Review [Elsevier BV]
卷期号:53: 100662-100662 被引量:61
标识
DOI:10.1016/j.cosrev.2024.100662
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.
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