High image quality watermarking model by using genetic algorithm

Imperceptibility or quality for digital image watermarking represents one of the most important requirements for any digital watermarking system. Many studies try to enhance the quality by using different techniques and methods. In this study, Genetic Algorithm (GA) method is used to embed two bits...

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Main Authors: Mohammed, Ghassan N., Yasin, Azman, Zeki, Akram M.
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:http://irep.iium.edu.my/30809/
http://irep.iium.edu.my/30809/
http://irep.iium.edu.my/30809/
http://irep.iium.edu.my/30809/1/06516339.pdf
id iium-30809
recordtype eprints
spelling iium-308092014-12-08T07:46:40Z http://irep.iium.edu.my/30809/ High image quality watermarking model by using genetic algorithm Mohammed, Ghassan N. Yasin, Azman Zeki, Akram M. T10.5 Communication of technical information Imperceptibility or quality for digital image watermarking represents one of the most important requirements for any digital watermarking system. Many studies try to enhance the quality by using different techniques and methods. In this study, Genetic Algorithm (GA) method is used to embed two bits of watermarking data within every pixel of original image and to find the optimal value based on the existing Dual Intermediate Significant Bit (DISB). However, if the two embedded bits is equal to the original bits then this means the watermarked image is still the same as the original one without any changing, while in the other case GA is used getting the minimum fitness value in which the fitness is the absolute value between the pixel and chromosome and the value of chromosome between 0-255. The results show that the new method improves the image quality and get the optimal value for the two embedded bits. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/30809/1/06516339.pdf Mohammed, Ghassan N. and Yasin, Azman and Zeki, Akram M. (2012) High image quality watermarking model by using genetic algorithm. In: International Conference on Advanced Computer Science Applications and Technologies , 26-28 Nov 2012, The Palace of Golden Horses, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6516339&tag=1 doi:10.1109/ACSAT.2012.89
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T10.5 Communication of technical information
spellingShingle T10.5 Communication of technical information
Mohammed, Ghassan N.
Yasin, Azman
Zeki, Akram M.
High image quality watermarking model by using genetic algorithm
description Imperceptibility or quality for digital image watermarking represents one of the most important requirements for any digital watermarking system. Many studies try to enhance the quality by using different techniques and methods. In this study, Genetic Algorithm (GA) method is used to embed two bits of watermarking data within every pixel of original image and to find the optimal value based on the existing Dual Intermediate Significant Bit (DISB). However, if the two embedded bits is equal to the original bits then this means the watermarked image is still the same as the original one without any changing, while in the other case GA is used getting the minimum fitness value in which the fitness is the absolute value between the pixel and chromosome and the value of chromosome between 0-255. The results show that the new method improves the image quality and get the optimal value for the two embedded bits.
format Conference or Workshop Item
author Mohammed, Ghassan N.
Yasin, Azman
Zeki, Akram M.
author_facet Mohammed, Ghassan N.
Yasin, Azman
Zeki, Akram M.
author_sort Mohammed, Ghassan N.
title High image quality watermarking model by using genetic algorithm
title_short High image quality watermarking model by using genetic algorithm
title_full High image quality watermarking model by using genetic algorithm
title_fullStr High image quality watermarking model by using genetic algorithm
title_full_unstemmed High image quality watermarking model by using genetic algorithm
title_sort high image quality watermarking model by using genetic algorithm
publishDate 2012
url http://irep.iium.edu.my/30809/
http://irep.iium.edu.my/30809/
http://irep.iium.edu.my/30809/
http://irep.iium.edu.my/30809/1/06516339.pdf
first_indexed 2023-09-18T20:45:02Z
last_indexed 2023-09-18T20:45:02Z
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