A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking
Digital watermarking techniques have been proposed for copyright protection and multimedia data authentication. The achieved tradeoffs from these techniques between imperceptibility and robustness are always controversial. This paper proposes the application of Discrete Wavelet Transform (DWT) into...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IOS Press
2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/6172/ http://umpir.ump.edu.my/id/eprint/6172/1/ICAE_jasni.pdf |
| _version_ | 1848817713510612992 |
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| author | Jasni, Mohamad Zain Tao, Hai Ahmed, M. Masroor Abdalla, Ahmed N. Jing, Wang |
| author_facet | Jasni, Mohamad Zain Tao, Hai Ahmed, M. Masroor Abdalla, Ahmed N. Jing, Wang |
| author_sort | Jasni, Mohamad Zain |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Digital watermarking techniques have been proposed for copyright protection and multimedia data authentication. The
achieved tradeoffs from these techniques between imperceptibility and robustness are always controversial. This paper proposes the application of Discrete Wavelet Transform (DWT) into image watermarking by using Particle Swarm Optimization (PSO) which is an evolutionary technique with the stochastic, population-based algorithm for solving this problem. To protect copyright information of digital images, the original image is decomposed according to two-dimensional discrete wavelet transform. Subsequently the preprocessed watermark with an affined scrambling transform is optimal embedded into the vertical subband
(HLm) coefficients in wavelet domain without compromising the quality of the image. In the optimal process, the scaling factors are trained with the assistance of PSO. Furthermore, a novel algorithmic framework is proposed via a forecasted feasibility of the approach to parameters evaluation of hypothesized watermarked images in DWT domain. Simulation results show that the proposed watermarking procedure has better performances in imperceptibility and robustness under various distortions in the comparison of the previous scheme. |
| first_indexed | 2025-11-15T01:26:09Z |
| format | Article |
| id | ump-6172 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:26:09Z |
| publishDate | 2012 |
| publisher | IOS Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-61722018-10-03T07:26:46Z http://umpir.ump.edu.my/id/eprint/6172/ A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking Jasni, Mohamad Zain Tao, Hai Ahmed, M. Masroor Abdalla, Ahmed N. Jing, Wang QA75 Electronic computers. Computer science Digital watermarking techniques have been proposed for copyright protection and multimedia data authentication. The achieved tradeoffs from these techniques between imperceptibility and robustness are always controversial. This paper proposes the application of Discrete Wavelet Transform (DWT) into image watermarking by using Particle Swarm Optimization (PSO) which is an evolutionary technique with the stochastic, population-based algorithm for solving this problem. To protect copyright information of digital images, the original image is decomposed according to two-dimensional discrete wavelet transform. Subsequently the preprocessed watermark with an affined scrambling transform is optimal embedded into the vertical subband (HLm) coefficients in wavelet domain without compromising the quality of the image. In the optimal process, the scaling factors are trained with the assistance of PSO. Furthermore, a novel algorithmic framework is proposed via a forecasted feasibility of the approach to parameters evaluation of hypothesized watermarked images in DWT domain. Simulation results show that the proposed watermarking procedure has better performances in imperceptibility and robustness under various distortions in the comparison of the previous scheme. IOS Press 2012 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6172/1/ICAE_jasni.pdf Jasni, Mohamad Zain and Tao, Hai and Ahmed, M. Masroor and Abdalla, Ahmed N. and Jing, Wang (2012) A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking. Integrated Computer-Aided Engineering, 19 (1). pp. 81-91. ISSN 1069-2509 (print); 1875-8835 (online). (Published) http://iospress.metapress.com/content/n0n218640287866k/fulltext.pdf DOI: 10.3233/ICA-2012-0392 |
| spellingShingle | QA75 Electronic computers. Computer science Jasni, Mohamad Zain Tao, Hai Ahmed, M. Masroor Abdalla, Ahmed N. Jing, Wang A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking |
| title | A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking |
| title_full | A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking |
| title_fullStr | A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking |
| title_full_unstemmed | A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking |
| title_short | A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking |
| title_sort | wavelet-based particle swarm optimization algorithm for digital image watermarking |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/6172/ http://umpir.ump.edu.my/id/eprint/6172/ http://umpir.ump.edu.my/id/eprint/6172/ http://umpir.ump.edu.my/id/eprint/6172/1/ICAE_jasni.pdf |