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Digital image watermarking using deep learning: A survey
Computer Science Review ( IF 13.3 ) Pub Date : 2024-08-07 , DOI: 10.1016/j.cosrev.2024.100662 Khalid M. Hosny , Amal Magdi , Osama ElKomy , Hanaa M. Hamza
Computer Science Review ( IF 13.3 ) Pub Date : 2024-08-07 , DOI: 10.1016/j.cosrev.2024.100662 Khalid M. Hosny , Amal Magdi , Osama ElKomy , Hanaa M. Hamza
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.
中文翻译:
使用深度学习的数字图像水印:一项调查
最近,人们对保护数字图像的所有权给予了很多关注。互联网使用的不断扩大导致了一些问题,包括数据盗版和数据篡改。图像水印是保护图像版权的典型方法。数字图像鲁棒水印是在封面图像上嵌入水印并在不同攻击下正确提取水印的过程。嵌入的水印可能是可见的或不可见的。深度学习利用神经网络来提取图像特征,其特征提取非常有效。利用深度学习的水印技术因其卓越的特征提取能力而引起了人们的广泛兴趣。本文概述了数字图像水印和深度学习。本文将讨论深度学习环境中数字图像水印的几篇研究文章。
更新日期:2024-08-07
中文翻译:
使用深度学习的数字图像水印:一项调查
最近,人们对保护数字图像的所有权给予了很多关注。互联网使用的不断扩大导致了一些问题,包括数据盗版和数据篡改。图像水印是保护图像版权的典型方法。数字图像鲁棒水印是在封面图像上嵌入水印并在不同攻击下正确提取水印的过程。嵌入的水印可能是可见的或不可见的。深度学习利用神经网络来提取图像特征,其特征提取非常有效。利用深度学习的水印技术因其卓越的特征提取能力而引起了人们的广泛兴趣。本文概述了数字图像水印和深度学习。本文将讨论深度学习环境中数字图像水印的几篇研究文章。