A Review of Artificial Intelligence in Digital Watermarking Techniques
Aayush Soni, Kamalpreet Kaur, Chriag Sharma · 2025
In this era, watermarking has been considered to be the emerging technology in the digital world and an asset to various social economics domain which pin-pointing the concern in securing the data, privacy and intellectual property. In this review paper, 35 research papers have been reviewed which were published between 2020 and 2025 highlighting the major takeaways including usage and depth knowledge of watermarking techniques in different domain, its advantages and applications using machine learning. This research broader the vision in various sectors such as healthcare, meeting the challenge of securing and protecting the data. A comprehensive exploration of modern watermarking technologies in enhancing digital security through increased diversity in application and privacy. Consequently, this lesser the chances of illegal usage or distribution of intellectual properties and safeguards one's contribution. Thus, among the techniques of digital watermarking include frequency and spatial methods, with frequency domain offering better robustness. Also performance achieved through the deep learning-based methods considered to be highly adaptive, imperceptible, and highly secure watermarking solutions.