Enhancement of human vision sensitivity features for watermarking performance using wavelet packet transformation

Digital watermarking has grown extensively in the past few years. It embeds an invisible payload into digital content for the purpose of copyright protection, content authentication, forensic tracking and others. In some applications such as medical, military and law enforcement, even the impercepti...

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Main Author:	Mohammed Shaamala, Abduljabbar Hasan
Format:	Thesis
Language:	English
Published:	2014
Subjects:	QA76 Computer software
Online Access:	http://eprints.utm.my/id/eprint/48679/1/AbduljabbarHasanMohammedShaamalaPFC2014.pdf
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spelling	my-utm-ep.486792020-06-17T02:26:00Z Enhancement of human vision sensitivity features for watermarking performance using wavelet packet transformation 2014 Mohammed Shaamala, Abduljabbar Hasan QA76 Computer software Digital watermarking has grown extensively in the past few years. It embeds an invisible payload into digital content for the purpose of copyright protection, content authentication, forensic tracking and others. In some applications such as medical, military and law enforcement, even the imperceptible distortion introduced in the watermarking process is unacceptable. The important requirements are to make sure the embedding watermark is undetectable by the human eye, robust against common attack and capacity required for application. Most studies in the field of watermarking based on Human Vision Sensitivity (HVS) features only focus on embedding data into approximate coefficient and have not covered the best combination of the features. The purpose of this research is to determine the optimum region for embedding the watermark, and to enhance watermarking using HVS features. The enhancement approach of sensitivity watermarking is proposed in the process of embedding the watermarks while taking into consideration on maintaining the watermark from distortion. Before the embedding process, the host image is transformed using wavelet packet. The HVS features will try to identify the embedding region inside the coefficient block. In addition, this technique was based on testing 10 different percentages of coefficient regions. This approach exploits vision sensitivity features for embedding high rate payload data into a host image without distortion. Furthermore, the elimination of HVS features was tested to select the best combination of features in order to perform the watermark embedding. The results of this research show the highest embedding rate which is at 3.74 bpp with high imperceptibility rate at 37.1dB compared to others available schemes. The proposed scheme protects the watermark from destruction after attacks or a JPEG compression. It is also discovered that the middle percentages achieved high in capacity, robustness and visual quality. The HVS features also have a significant impact of increasing the performance of watermarking requirements especially on the capacity of embedded message bits. 2014 Thesis http://eprints.utm.my/id/eprint/48679/ http://eprints.utm.my/id/eprint/48679/1/AbduljabbarHasanMohammedShaamalaPFC2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:77646?queryType=vitalDismax&query=Enhancement+of+human+vision+sensitivity+features+for+watermarking+performance+using+wavelet+packet+transformation&public=true phd doctoral Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Mohammed Shaamala, Abduljabbar Hasan Enhancement of human vision sensitivity features for watermarking performance using wavelet packet transformation
description	Digital watermarking has grown extensively in the past few years. It embeds an invisible payload into digital content for the purpose of copyright protection, content authentication, forensic tracking and others. In some applications such as medical, military and law enforcement, even the imperceptible distortion introduced in the watermarking process is unacceptable. The important requirements are to make sure the embedding watermark is undetectable by the human eye, robust against common attack and capacity required for application. Most studies in the field of watermarking based on Human Vision Sensitivity (HVS) features only focus on embedding data into approximate coefficient and have not covered the best combination of the features. The purpose of this research is to determine the optimum region for embedding the watermark, and to enhance watermarking using HVS features. The enhancement approach of sensitivity watermarking is proposed in the process of embedding the watermarks while taking into consideration on maintaining the watermark from distortion. Before the embedding process, the host image is transformed using wavelet packet. The HVS features will try to identify the embedding region inside the coefficient block. In addition, this technique was based on testing 10 different percentages of coefficient regions. This approach exploits vision sensitivity features for embedding high rate payload data into a host image without distortion. Furthermore, the elimination of HVS features was tested to select the best combination of features in order to perform the watermark embedding. The results of this research show the highest embedding rate which is at 3.74 bpp with high imperceptibility rate at 37.1dB compared to others available schemes. The proposed scheme protects the watermark from destruction after attacks or a JPEG compression. It is also discovered that the middle percentages achieved high in capacity, robustness and visual quality. The HVS features also have a significant impact of increasing the performance of watermarking requirements especially on the capacity of embedded message bits.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mohammed Shaamala, Abduljabbar Hasan
author_facet	Mohammed Shaamala, Abduljabbar Hasan
author_sort	Mohammed Shaamala, Abduljabbar Hasan
title	Enhancement of human vision sensitivity features for watermarking performance using wavelet packet transformation
title_short	Enhancement of human vision sensitivity features for watermarking performance using wavelet packet transformation
title_full	Enhancement of human vision sensitivity features for watermarking performance using wavelet packet transformation
title_fullStr	Enhancement of human vision sensitivity features for watermarking performance using wavelet packet transformation
title_full_unstemmed	Enhancement of human vision sensitivity features for watermarking performance using wavelet packet transformation
title_sort	enhancement of human vision sensitivity features for watermarking performance using wavelet packet transformation
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2014
url	http://eprints.utm.my/id/eprint/48679/1/AbduljabbarHasanMohammedShaamalaPFC2014.pdf
_version_	1747817449300951040

Enhancement of human vision sensitivity features for watermarking performance using wavelet packet transformation

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