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Spectral decomposition operators and their applications in image processing / Ebrahim Ameen Ahmed Ali ; Supervised Mohamed E. Rasmy , Mahmoud H. Annaby , Muhammad A. Rushdi

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ebrahim Ameen Ahmed Ali , 2017Description: 145 P. Leaves : ill. ; 30cmOther title:
  • مؤثرات التحليل الطيفى و تطبيقاتها فى معالجة الصور [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: In this thesis, we propose new DFrFT-type transforms generated by random matrices and apply them to image encryption. We investigate the significance of our method and compare it statistically with newly established techniques and we propose two encryption algorithms that largely treat these deficiencies and boost the security strength through novel integration of the random fractional fourier transforms, phase retrieval algorithms, as well as chaotic scrambling and diffusion. We show through detailed experiments and statistical analysis that the proposed enhancements significantly improve security measures and immunity to attacks
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2017.Eb.S (Browse shelf(Opens below)) Not for loan 01010110074055000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2017.Eb.S (Browse shelf(Opens below)) 74055.CD Not for loan 01020110074055000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

In this thesis, we propose new DFrFT-type transforms generated by random matrices and apply them to image encryption. We investigate the significance of our method and compare it statistically with newly established techniques and we propose two encryption algorithms that largely treat these deficiencies and boost the security strength through novel integration of the random fractional fourier transforms, phase retrieval algorithms, as well as chaotic scrambling and diffusion. We show through detailed experiments and statistical analysis that the proposed enhancements significantly improve security measures and immunity to attacks

Issued also as CD

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