Hybrid particle swarm optimization for robust digital image watermarking

This paper presents an image watermarking algorithm for the optimization between robustness and transparency which is recently considered as one of the most challenging issues. The novelty is to associate the Hybrid Particle Swarm Optimization (HPSO), instead of a single optimization, as a model wit...

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Main Authors:	Tao, Hai, Jasni, Mohamad Zain, Abdalla, Ahmed N., Mohammad Masroor, Ahmed
Format:	Article
Language:	English
Published:	Academic Journals 2011
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/25729/ http://umpir.ump.edu.my/id/eprint/25729/ http://umpir.ump.edu.my/id/eprint/25729/ http://umpir.ump.edu.my/id/eprint/25729/1/Hybrid%20particle%20swarm%20optimization%20for%20robust%20digital%20image%20watermarking.pdf

id	ump-25729
recordtype	eprints
spelling	ump-257292020-02-20T02:34:45Z http://umpir.ump.edu.my/id/eprint/25729/ Hybrid particle swarm optimization for robust digital image watermarking Tao, Hai Jasni, Mohamad Zain Abdalla, Ahmed N. Mohammad Masroor, Ahmed QA76 Computer software This paper presents an image watermarking algorithm for the optimization between robustness and transparency which is recently considered as one of the most challenging issues. The novelty is to associate the Hybrid Particle Swarm Optimization (HPSO), instead of a single optimization, as a model with singular value decomposition (SVD). To embed and extract the watermark, the singular values of the blocked host image are modified according to the watermark and scaling factors. A series of training patterns are constructed by employing between two images. Moreover, the work takes accomplishing maximum robustness and transparency into consideration. HPSO method is used to estimate the multiple parameters involved in the model. Simulation results demonstrated that the proposed scheme can effectively improve the quality of the watermarked image and resist common image manipulations such as adding noise, resizing compression, tempering, etc. and some geometric attacks. Academic Journals 2011 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25729/1/Hybrid%20particle%20swarm%20optimization%20for%20robust%20digital%20image%20watermarking.pdf Tao, Hai and Jasni, Mohamad Zain and Abdalla, Ahmed N. and Mohammad Masroor, Ahmed (2011) Hybrid particle swarm optimization for robust digital image watermarking. International Journal of Physical Sciences, 6 (31). pp. 7222-7232. ISSN 1992-1950 https://doi.org/10.5897/IJPS11.1203 https://doi.org/10.5897/IJPS11.1203
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Tao, Hai Jasni, Mohamad Zain Abdalla, Ahmed N. Mohammad Masroor, Ahmed Hybrid particle swarm optimization for robust digital image watermarking
description	This paper presents an image watermarking algorithm for the optimization between robustness and transparency which is recently considered as one of the most challenging issues. The novelty is to associate the Hybrid Particle Swarm Optimization (HPSO), instead of a single optimization, as a model with singular value decomposition (SVD). To embed and extract the watermark, the singular values of the blocked host image are modified according to the watermark and scaling factors. A series of training patterns are constructed by employing between two images. Moreover, the work takes accomplishing maximum robustness and transparency into consideration. HPSO method is used to estimate the multiple parameters involved in the model. Simulation results demonstrated that the proposed scheme can effectively improve the quality of the watermarked image and resist common image manipulations such as adding noise, resizing compression, tempering, etc. and some geometric attacks.
format	Article
author	Tao, Hai Jasni, Mohamad Zain Abdalla, Ahmed N. Mohammad Masroor, Ahmed
author_facet	Tao, Hai Jasni, Mohamad Zain Abdalla, Ahmed N. Mohammad Masroor, Ahmed
author_sort	Tao, Hai
title	Hybrid particle swarm optimization for robust digital image watermarking
title_short	Hybrid particle swarm optimization for robust digital image watermarking
title_full	Hybrid particle swarm optimization for robust digital image watermarking
title_fullStr	Hybrid particle swarm optimization for robust digital image watermarking
title_full_unstemmed	Hybrid particle swarm optimization for robust digital image watermarking
title_sort	hybrid particle swarm optimization for robust digital image watermarking
publisher	Academic Journals
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/25729/ http://umpir.ump.edu.my/id/eprint/25729/ http://umpir.ump.edu.my/id/eprint/25729/ http://umpir.ump.edu.my/id/eprint/25729/1/Hybrid%20particle%20swarm%20optimization%20for%20robust%20digital%20image%20watermarking.pdf
first_indexed	2023-09-18T22:39:41Z
last_indexed	2023-09-18T22:39:41Z
_version_	1777416831169986560

Hybrid particle swarm optimization for robust digital image watermarking

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