Multiple watermarking in segmented image using wavelet transform

Digital watermarking is the process of embedding information into digital multimedia content such that the information can later be extracted or detected for a variety of purposes including copy prevention and authentication proof. Embedding watermark in the wavelet becomes more attractive to most r...

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Main Author:	Mnati, Mustafa Nasser
Format:	Thesis
Language:	English
Published:	2010
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/16551/1/MustafaNasserMnatiMFSKSM2010.pdf
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id	my-utm-ep.16551
record_format	uketd_dc
spelling	my-utm-ep.165512017-09-13T03:25:47Z Multiple watermarking in segmented image using wavelet transform 2010 Mnati, Mustafa Nasser QA75 Electronic computers. Computer science Digital watermarking is the process of embedding information into digital multimedia content such that the information can later be extracted or detected for a variety of purposes including copy prevention and authentication proof. Embedding watermark in the wavelet becomes more attractive to most researchers as it could provide better performance. Even though there are many technique have been developed in this regards, but the problem of robustness and transparency from any attack is still becomes the main research issue in the watermarking technique. Thus, the challenge is still wide open . In this research; we describe a transparency and a robust DWT digital image watermarking algorithm. In the proposed algorithm, a multiple watermark images are embedded into segmented blue part of the RGB host image using a Discrete Wavelet Transform (DWT). Performance in terms of robustness and transparency of the watermarking scheme is obtained by embedding the maximum strength watermark while maintaining the perceptually lossless quality of the watermarked color image. Simulation results show that the proposed method is transparent and robust under common attacks such as JPEG compression, high pass filtering, median filtering, cropping, ,Gaussian , spackle noise , salt and peppers, motion effects and scaling attacks. In addition, the recovery method is non-blind since it requires the original host image for extracting the watermark. 2010 Thesis http://eprints.utm.my/id/eprint/16551/ http://eprints.utm.my/id/eprint/16551/1/MustafaNasserMnatiMFSKSM2010.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Mnati, Mustafa Nasser Multiple watermarking in segmented image using wavelet transform
description	Digital watermarking is the process of embedding information into digital multimedia content such that the information can later be extracted or detected for a variety of purposes including copy prevention and authentication proof. Embedding watermark in the wavelet becomes more attractive to most researchers as it could provide better performance. Even though there are many technique have been developed in this regards, but the problem of robustness and transparency from any attack is still becomes the main research issue in the watermarking technique. Thus, the challenge is still wide open . In this research; we describe a transparency and a robust DWT digital image watermarking algorithm. In the proposed algorithm, a multiple watermark images are embedded into segmented blue part of the RGB host image using a Discrete Wavelet Transform (DWT). Performance in terms of robustness and transparency of the watermarking scheme is obtained by embedding the maximum strength watermark while maintaining the perceptually lossless quality of the watermarked color image. Simulation results show that the proposed method is transparent and robust under common attacks such as JPEG compression, high pass filtering, median filtering, cropping, ,Gaussian , spackle noise , salt and peppers, motion effects and scaling attacks. In addition, the recovery method is non-blind since it requires the original host image for extracting the watermark.
format	Thesis
qualification_level	Master's degree
author	Mnati, Mustafa Nasser
author_facet	Mnati, Mustafa Nasser
author_sort	Mnati, Mustafa Nasser
title	Multiple watermarking in segmented image using wavelet transform
title_short	Multiple watermarking in segmented image using wavelet transform
title_full	Multiple watermarking in segmented image using wavelet transform
title_fullStr	Multiple watermarking in segmented image using wavelet transform
title_full_unstemmed	Multiple watermarking in segmented image using wavelet transform
title_sort	multiple watermarking in segmented image using wavelet transform
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2010
url	http://eprints.utm.my/id/eprint/16551/1/MustafaNasserMnatiMFSKSM2010.pdf
_version_	1747815070499340288

Multiple watermarking in segmented image using wavelet transform

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