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: | |
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| 格式: | Thesis |
| 语言: | English English English |
| 出版: |
2003
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| 主题: | |
| 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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| 总结: | 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). |
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