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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主要作者: Zainal Abidin, Zuhairiah
格式: Thesis
语言:English
English
English
出版: 2003
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在线阅读: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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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
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