Secure Video Watermarking Embedding and Extraction Process Using Transformation Techniques

In the rapidly evolving digital world, protecting multimedia content is more crucial than ever. Digital watermarking has become a vital technique for securing copyrights, verifying content authenticity, and preventing unauthorized use. This paper introduces a secure watermarking approach based on Discrete Wavelet Transform (DWT), which plays a key role in image decomposition and embedding processes. The method focuses on the segmentation of video content into frames, where DWT is applied to embed watermarks effectively. This approach lays the groundwork for future enhancements, including advanced encryption and compression techniques such as Singular Value Decomposition, Artificial Jellyfish Search Algorithm, and Elliptic-Curve Cryptography, along with H.265 video encoding for compression. The initial implementation of DWT demonstrates its potential in safeguarding digital content by providing a solid foundation for more comprehensive digital watermarking strategies. By integrating DWT with future techniques, the paper aims to address the pressing challenges of content protection, contributing significantly to the field of digital media security in today’s digital landscape.

Authors

Publication Details

Journal
Cureus Journal of Computer Science.
Published
2025-08-20
DOI
https://doi.org/10.7759/s44389-024-01368-z
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Secure Video Watermarking Embedding and Extraction Process Using Transformation Techniques

Sameena Pathan, Manoj Kumar
Cureus Journal of Computer Science.
Advanced Steganography and Watermarking Techniques
article

Secure Video Watermarking Embedding and Extraction Process Using Transformation Techniques

Sameena Pathan, Manoj Kumar
article en

Abstract

In the rapidly evolving digital world, protecting multimedia content is more crucial than ever. Digital watermarking has become a vital technique for securing copyrights, verifying content authenticity, and preventing unauthorized use. This paper introduces a secure watermarking approach based on Discrete Wavelet Transform (DWT), which plays a key role in image decomposition and embedding processes. The method focuses on the segmentation of video content into frames, where DWT is applied to embed watermarks effectively. This approach lays the groundwork for future enhancements, including advanced encryption and compression techniques such as Singular Value Decomposition, Artificial Jellyfish Search Algorithm, and Elliptic-Curve Cryptography, along with H.265 video encoding for compression. The initial implementation of DWT demonstrates its potential in safeguarding digital content by providing a solid foundation for more comprehensive digital watermarking strategies. By integrating DWT with future techniques, the paper aims to address the pressing challenges of content protection, contributing significantly to the field of digital media security in today’s digital landscape.

Cureus Journal of Computer Science.
Openalex Percentile: Top 80%
Advanced Steganography and Watermarking Techniques
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