Image compression and encryption

Uncompressed multimedia data (image) requires considerable storage capacity. However, all classified image file, has to be protected against unauthorized access. The purpose of this project was to implement the combinational of image compression and encryption to overcome this problem. In this pr...

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Main Author:	Zainal Abidin, Zuhairiah
Format:	Thesis
Language:	English English English
Published:	2003
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://eprints.uthm.edu.my/8638/1/24p%20ZUHAIRIAH%20ZAINAL%20ABIDIN.pdf http://eprints.uthm.edu.my/8638/2/ZUHAIRIAH%20ZAINAL%20ABIDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8638/3/ZUHAIRIAH%20ZAINAL%20ABIDIN%20WATERMARK.pdf
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id	my-uthm-ep.8638
record_format	uketd_dc
spelling	my-uthm-ep.86382023-05-02T02:12:20Z Image compression and encryption 2003-11 Zainal Abidin, Zuhairiah TA Engineering (General). Civil engineering (General) TA1501-1820 Applied optics. Photonics Uncompressed multimedia data (image) requires considerable storage capacity. However, all classified image file, has to be protected against unauthorized access. The purpose of this project was to implement the combinational of image compression and encryption to overcome this problem. In this project, the image compression process involved the usage of the wavelet transform. Eight images have been used in this project for its implementation. The original image was decomposed until ten levels of decomposition by using Daubechies2 (db2). The aforementioned was recursively done from Daubechies2 (db2) to DaubechieslO (db 10). After the decomposition stage, the image that performs optimum percentage of coefficients was suppressed to zero (PERFO) and the percentage of perfect reconstruction (PERFL2) is chosen. Thereafter, the chosen image was compressed and finally, encrypted. In this project, the RC4 encryption algorithm has been used. This project utilized MATLAB Wavelet Toolbox Version 6.5 thoroughly for its implementation. The output of the image compression and encryption was then be analyzed by using mean-square error (MSE), peak signal to noise ratio (PSNR), percentage of coefficients suppressed to zero (PERFO) and percentage of perfect reconstruction (PERFL2). 2003-11 Thesis http://eprints.uthm.edu.my/8638/ http://eprints.uthm.edu.my/8638/1/24p%20ZUHAIRIAH%20ZAINAL%20ABIDIN.pdf text en public http://eprints.uthm.edu.my/8638/2/ZUHAIRIAH%20ZAINAL%20ABIDIN%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/8638/3/ZUHAIRIAH%20ZAINAL%20ABIDIN%20WATERMARK.pdf text en validuser mphil masters Kolej Universiti Teknologi Tun Hussein Onn Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TA Engineering (General) Civil engineering (General) TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) TA Engineering (General) Civil engineering (General) Zainal Abidin, Zuhairiah Image compression and encryption
description	Uncompressed multimedia data (image) requires considerable storage capacity. However, all classified image file, has to be protected against unauthorized access. The purpose of this project was to implement the combinational of image compression and encryption to overcome this problem. In this project, the image compression process involved the usage of the wavelet transform. Eight images have been used in this project for its implementation. The original image was decomposed until ten levels of decomposition by using Daubechies2 (db2). The aforementioned was recursively done from Daubechies2 (db2) to DaubechieslO (db 10). After the decomposition stage, the image that performs optimum percentage of coefficients was suppressed to zero (PERFO) and the percentage of perfect reconstruction (PERFL2) is chosen. Thereafter, the chosen image was compressed and finally, encrypted. In this project, the RC4 encryption algorithm has been used. This project utilized MATLAB Wavelet Toolbox Version 6.5 thoroughly for its implementation. The output of the image compression and encryption was then be analyzed by using mean-square error (MSE), peak signal to noise ratio (PSNR), percentage of coefficients suppressed to zero (PERFO) and percentage of perfect reconstruction (PERFL2).
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Zainal Abidin, Zuhairiah
author_facet	Zainal Abidin, Zuhairiah
author_sort	Zainal Abidin, Zuhairiah
title	Image compression and encryption
title_short	Image compression and encryption
title_full	Image compression and encryption
title_fullStr	Image compression and encryption
title_full_unstemmed	Image compression and encryption
title_sort	image compression and encryption
granting_institution	Kolej Universiti Teknologi Tun Hussein Onn
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2003
url	http://eprints.uthm.edu.my/8638/1/24p%20ZUHAIRIAH%20ZAINAL%20ABIDIN.pdf http://eprints.uthm.edu.my/8638/2/ZUHAIRIAH%20ZAINAL%20ABIDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8638/3/ZUHAIRIAH%20ZAINAL%20ABIDIN%20WATERMARK.pdf
_version_	1776103378440421376

Image compression and encryption

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