Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid

Image watermarking is a method to hide a message in an image for transmission of secret data or identification purposes. The data will be embedded into the image digitally and whenever needed will be retrieved out of that image. The process of embedding and retracting the data cause the original emb...

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Main Author:	Zahid, Zuhaili
Format:	Thesis
Language:	English
Published:	2008
Subjects:	Evolutionary programming (Computer science) Genetic algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/65949/1/65949.pdf
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id	my-uitm-ir.65949
record_format	uketd_dc
spelling	my-uitm-ir.659492022-09-21T09:03:43Z Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid 2008 Zahid, Zuhaili Evolutionary programming (Computer science). Genetic algorithms Cryptography. Access control. Computer security Image watermarking is a method to hide a message in an image for transmission of secret data or identification purposes. The data will be embedded into the image digitally and whenever needed will be retrieved out of that image. The process of embedding and retracting the data cause the original embedded data to be distorted as a side effect of the current method used. Due to the frequently use of rounding approach, embedded data or watermark hidden in an image is retrieved differently from the original watermark (Shih et al, 2004). The simple rounding will cause numerous errors in the embedded watermark especially when it is large. As a result, these errors will produce less accurate results during the process of extraction to the original watermark. Thus, this project will introduce a genetic-algorithms-based technique to overcome the rounding error problem. The fundamental is to adopt an appropriate fitness function for choosing the best chromosome which determines the conversion rule of real numbers into integers during the transformation. As a contribution, this method not only potential to restore the embedded data accurately, but also changes the least pixels in the host image. 2008 Thesis https://ir.uitm.edu.my/id/eprint/65949/ https://ir.uitm.edu.my/id/eprint/65949/1/65949.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Abu Bakar, Nordin
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abu Bakar, Nordin
topic	Evolutionary programming (Computer science) Genetic algorithms Evolutionary programming (Computer science) Genetic algorithms
spellingShingle	Evolutionary programming (Computer science) Genetic algorithms Evolutionary programming (Computer science) Genetic algorithms Zahid, Zuhaili Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid
description	Image watermarking is a method to hide a message in an image for transmission of secret data or identification purposes. The data will be embedded into the image digitally and whenever needed will be retrieved out of that image. The process of embedding and retracting the data cause the original embedded data to be distorted as a side effect of the current method used. Due to the frequently use of rounding approach, embedded data or watermark hidden in an image is retrieved differently from the original watermark (Shih et al, 2004). The simple rounding will cause numerous errors in the embedded watermark especially when it is large. As a result, these errors will produce less accurate results during the process of extraction to the original watermark. Thus, this project will introduce a genetic-algorithms-based technique to overcome the rounding error problem. The fundamental is to adopt an appropriate fitness function for choosing the best chromosome which determines the conversion rule of real numbers into integers during the transformation. As a contribution, this method not only potential to restore the embedded data accurately, but also changes the least pixels in the host image.
format	Thesis
qualification_level	Bachelor degree
author	Zahid, Zuhaili
author_facet	Zahid, Zuhaili
author_sort	Zahid, Zuhaili
title	Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid
title_short	Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid
title_full	Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid
title_fullStr	Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid
title_full_unstemmed	Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid
title_sort	using genetic algorithms as image watermarking performance optimizer / zuhaili zahid
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2008
url	https://ir.uitm.edu.my/id/eprint/65949/1/65949.pdf
_version_	1783735587574906880

Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid

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