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 language | English |
|---|---|
| Article number | 1054481 |
| Peer-reviewed scientific journal | Frontiers in Neurorobotics |
| Volume | 16 |
| DOIs | |
| Publication status | Published - 2022 |
| MoE publication type | A1 Journal article - refereed |
Keywords
- 113 Computer and information sciences
- blind source separation
- digital watermarking
- fractional Fourier transform
- genetic algorithm
- robustness
Fingerprint
Dive into the research topics of 'The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver