Image Watermarking between Conventional and Learning-Based Techniques: A Literature Review

被引:9
|
作者
Boujerfaoui, Said [1 ]
Riad, Rabia [2 ]
Douzi, Hassan [1 ]
Ros, Frederic [3 ]
Harba, Rachid [3 ]
机构
[1] Univ Ibn Zohr, IRF SIC, Agadir 80000, Morocco
[2] Univ Ibn Zohr, PETI, Ouarzazate 45000, Morocco
[3] Univ Orleans, PRISME, F-45000 Orleans, France
关键词
image watermarking; deep learning; digital images; copyright protection; information security; visual imperceptibility; robustness; review; DIGITAL WATERMARKING; COPYRIGHT PROTECTION; BLIND WATERMARKING; DUAL WATERMARKING; TAMPER DETECTION; ROBUST; SCHEME; DOMAIN; SECURITY; ATTACKS;
D O I
10.3390/electronics12010074
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Currently, most transactions and exchanges are conducted through the Internet thanks to technological tools, running the risk of the falsification and distortion of information. This is due to the massive demand for the virtual world and its easy access to anyone. Image watermarking has recently emerged as one of the most important areas for protecting content and enhancing durability and resistance to these kinds of attacks. However, there is currently no integrated technology able to repel all possible kinds of attacks; the main objective of each technology remains limited to specific types of applications, meaning there are multiple opportunities to contribute to the development of this field. Recently, the image watermarking field has gained significant benefits from the sudden popularity of deep learning and its outstanding success in the field of information security. Thus, in this article, we will describe the bridge by which the watermarking field has evolved from traditional technology to intelligent technologies based on deep learning.
引用
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页数:39
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