The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Neurorobotics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2022.1054481/full |
| _version_ | 1811318528379191296 |
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| author | Rani Kumari Abhijit Mustafi |
| author_facet | Rani Kumari Abhijit Mustafi |
| author_sort | Rani Kumari |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T12:27:35Z |
| format | Article |
| id | doaj.art-f8cfafe76889489ca70f505510d348dd |
| institution | Directory Open Access Journal |
| issn | 1662-5218 |
| language | English |
| last_indexed | 2024-04-13T12:27:35Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurorobotics |
| spelling | doaj.art-f8cfafe76889489ca70f505510d348dd2022-12-22T02:46:59ZengFrontiers Media S.A.Frontiers in Neurorobotics1662-52182022-11-011610.3389/fnbot.2022.10544811054481The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processingRani KumariAbhijit MustafiThis 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.https://www.frontiersin.org/articles/10.3389/fnbot.2022.1054481/fulldigital watermarkingfractional Fourier transformblind source separationgenetic algorithmrobustness |
| spellingShingle | Rani Kumari Abhijit Mustafi The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing Frontiers in Neurorobotics digital watermarking fractional Fourier transform blind source separation genetic algorithm robustness |
| title | The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing |
| title_full | The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing |
| title_fullStr | The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing |
| title_full_unstemmed | The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing |
| title_short | The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing |
| title_sort | spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing |
| topic | digital watermarking fractional Fourier transform blind source separation genetic algorithm robustness |
| url | https://www.frontiersin.org/articles/10.3389/fnbot.2022.1054481/full |
| work_keys_str_mv | AT ranikumari thespatialfrequencydomaindesignatedwatermarkingframeworkuseslinearblindsourceseparationforintelligentvisualsignalprocessing AT abhijitmustafi thespatialfrequencydomaindesignatedwatermarkingframeworkuseslinearblindsourceseparationforintelligentvisualsignalprocessing AT ranikumari spatialfrequencydomaindesignatedwatermarkingframeworkuseslinearblindsourceseparationforintelligentvisualsignalprocessing AT abhijitmustafi spatialfrequencydomaindesignatedwatermarkingframeworkuseslinearblindsourceseparationforintelligentvisualsignalprocessing |