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...

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Main Authors:	Jasni, Mohamad Zain, Tao, Hai, Ahmed, M. Masroor, Abdalla, Ahmed N., Jing, Wang
Format:	Article
Language:	English
Published:	IOS Press 2012
Subjects:	QA75 Electronic computers. Computer science
Online Access:	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

id	ump-6172
recordtype	eprints
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) http://iospress.metapress.com/content/n0n218640287866k/fulltext.pdf DOI: 10.3233/ICA-2012-0392
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
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
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.
format	Article
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
title	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_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_sort	wavelet-based particle swarm optimization algorithm for digital image watermarking
publisher	IOS Press
publishDate	2012
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
first_indexed	2023-09-18T22:01:43Z
last_indexed	2023-09-18T22:01:43Z
_version_	1777414443011932160

A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking

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