Spectral decomposition operators and their applications in image processing /
Ebrahim Ameen Ahmed Ali
Spectral decomposition operators and their applications in image processing / مؤثرات التحليل الطيفى و تطبيقاتها فى معالجة الصور Ebrahim Ameen Ahmed Ali ; Supervised Mohamed E. Rasmy , Mahmoud H. Annaby , Muhammad A. Rushdi - Cairo : Ebrahim Ameen Ahmed Ali , 2017 - 145 P. Leaves : ill. ; 30cm
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
Color image encryption Fractional discrete fourier transforms Random transforms
Spectral decomposition operators and their applications in image processing / مؤثرات التحليل الطيفى و تطبيقاتها فى معالجة الصور Ebrahim Ameen Ahmed Ali ; Supervised Mohamed E. Rasmy , Mahmoud H. Annaby , Muhammad A. Rushdi - Cairo : Ebrahim Ameen Ahmed Ali , 2017 - 145 P. Leaves : ill. ; 30cm
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
Color image encryption Fractional discrete fourier transforms Random transforms