The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing

3Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

This paper develops a digital watermarking algorithm using an informed watermark retrieval architecture. The developed method uses the fractional Fourier transform to embed the watermark in the space-frequency domain and extracts the watermark using blind source separation techniques. The watermark embedding is further enhanced using a heuristic algorithm to increase the strength of the watermarking system. We use genetic algorithm to find the optimal fractional domain by minimizing the coefficient of RMSE between the input image and the watermarked image. The algorithm's performance against various common attacks, e.g., JPEG compression and Gaussian noise, is presented to estimate the algorithm's robustness.

Cite

CITATION STYLE

APA

Kumari, R., & Mustafi, A. (2022). The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing. Frontiers in Neurorobotics, 16. https://doi.org/10.3389/fnbot.2022.1054481

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free