A comparison of watermarking image quality based on dual intermediate significant bit with genetic algorithm

The quality of the watermarked images is considered as one of the most important requirements of any watermarking system.In most applications, the watermarking algorithm embeds the watermark without affecting the quality of the host media.In this study, a comparison of watermarking image quality was...

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Main Authors: Yasin, Azman, M. Zeki, Akram, Mohammed, Ghassan N.
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access:http://repo.uum.edu.my/12023/1/PID8.pdf
http://repo.uum.edu.my/12023/
http://www.icoci.cms.net.my/proceedings/2013/TOC.html
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Institution: Universiti Utara Malaysia
Language: English
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spelling my.uum.repo.120232014-08-25T00:42:42Z http://repo.uum.edu.my/12023/ A comparison of watermarking image quality based on dual intermediate significant bit with genetic algorithm Yasin, Azman M. Zeki, Akram Mohammed, Ghassan N. QA76 Computer software The quality of the watermarked images is considered as one of the most important requirements of any watermarking system.In most applications, the watermarking algorithm embeds the watermark without affecting the quality of the host media.In this study, a comparison of watermarking image quality was performed between two existing methods: Dual Intermediate Significant Bit (DISB) an d Genetic Algorithm (GA).The first method focuses on the high quality of the watermarked image based on DISB model and this method requires embedding two bits into every pixel of the original image, while the other six bits are modified so as to immediately assimilate the original pixel. In this case, when the two hidden bits are equal to the original bits, there will be no change to the other remaining bits.However, if the original value is not equal to the embedded one, the nearest pixel to the original one will be chosen as the watermarked image.The second method, GA method is used to embed two bits of watermarking data within every pixel of the original image and to find the optimal value based on the existing DISB.On the other hand, if the two embedded bits are equal to the original bits then this means the watermarked image is still the same as the original one without any changes, while in the other case GA is used in determining the minimum fitness value in which the fittest is the absolute value between the pixel and chromosome and the value of chromosome between 0-255.The results indicate that the two methods produce a high quality watermarked image, but there is a big difference in the processing time, so the DISB method is faster than the GA method. 2013-08-28 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/12023/1/PID8.pdf Yasin, Azman and M. Zeki, Akram and Mohammed, Ghassan N. (2013) A comparison of watermarking image quality based on dual intermediate significant bit with genetic algorithm. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my/proceedings/2013/TOC.html
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Yasin, Azman
M. Zeki, Akram
Mohammed, Ghassan N.
A comparison of watermarking image quality based on dual intermediate significant bit with genetic algorithm
description The quality of the watermarked images is considered as one of the most important requirements of any watermarking system.In most applications, the watermarking algorithm embeds the watermark without affecting the quality of the host media.In this study, a comparison of watermarking image quality was performed between two existing methods: Dual Intermediate Significant Bit (DISB) an d Genetic Algorithm (GA).The first method focuses on the high quality of the watermarked image based on DISB model and this method requires embedding two bits into every pixel of the original image, while the other six bits are modified so as to immediately assimilate the original pixel. In this case, when the two hidden bits are equal to the original bits, there will be no change to the other remaining bits.However, if the original value is not equal to the embedded one, the nearest pixel to the original one will be chosen as the watermarked image.The second method, GA method is used to embed two bits of watermarking data within every pixel of the original image and to find the optimal value based on the existing DISB.On the other hand, if the two embedded bits are equal to the original bits then this means the watermarked image is still the same as the original one without any changes, while in the other case GA is used in determining the minimum fitness value in which the fittest is the absolute value between the pixel and chromosome and the value of chromosome between 0-255.The results indicate that the two methods produce a high quality watermarked image, but there is a big difference in the processing time, so the DISB method is faster than the GA method.
format Conference or Workshop Item
author Yasin, Azman
M. Zeki, Akram
Mohammed, Ghassan N.
author_facet Yasin, Azman
M. Zeki, Akram
Mohammed, Ghassan N.
author_sort Yasin, Azman
title A comparison of watermarking image quality based on dual intermediate significant bit with genetic algorithm
title_short A comparison of watermarking image quality based on dual intermediate significant bit with genetic algorithm
title_full A comparison of watermarking image quality based on dual intermediate significant bit with genetic algorithm
title_fullStr A comparison of watermarking image quality based on dual intermediate significant bit with genetic algorithm
title_full_unstemmed A comparison of watermarking image quality based on dual intermediate significant bit with genetic algorithm
title_sort comparison of watermarking image quality based on dual intermediate significant bit with genetic algorithm
publishDate 2013
url http://repo.uum.edu.my/12023/1/PID8.pdf
http://repo.uum.edu.my/12023/
http://www.icoci.cms.net.my/proceedings/2013/TOC.html
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