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

  • Rani Kumari*
  • , Abhijit Mustafi*
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Article number1054481
Peer-reviewed scientific journalFrontiers in Neurorobotics
Volume16
DOIs
Publication statusPublished - 2022
MoE publication typeA1 Journal article - refereed

Keywords

  • 113 Computer and information sciences
  • blind source separation
  • digital watermarking
  • fractional Fourier transform
  • genetic algorithm
  • robustness

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