Invisible watermarking using Discrete Cosine Transform (DCT): A comprehensive exploration
1 Faculty of Computer Science, Department of Computer Science, Lachoo Memorial College of Science and Technology (Autonomous), Jodhpur, Rajasthan, India.
2 Faculty of Science, Department of Physics, Lachoo Memorial College of Science and Technology (Autonomous), Jodhpur, Rajasthan, India.
Review Article
World Journal of Advanced Research and Reviews, 2024, 24(02), 2639–2645
Publication history:
Received on 18 October 2024; revised on 25 November 2024; accepted on 28 November 2024
Abstract:
Invisible watermarking is a technique used to protect digital media, like images and videos, by adding a secret mark (watermark) that cannot be seen. This helps prevent copying and ensures the content’s authenticity. One popular method for invisible watermarking is called Discrete Cosine Transform (DCT), which works by changing the image into a form where small changes can be made without affecting its quality. DCT focuses on the frequency of the image, which helps hide the watermark in a way that it’s not noticeable to the human eye. This technique is used in many areas like copyright protection and security. In this paper, we explain how DCT works, how to apply it using Python, and where it can be used. We also discuss the advantages and disadvantages of DCT-based watermarking compared to other methods, showing why it’s a strong choice for protecting digital content.
Keywords:
Invisible Watermarking; DCT-Based Watermarking; Inverse DCT; Python Implementation
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0