000 02591cam a2200349 a 4500
003 EG-GiCUC
005 20250223031407.0
008 160113s2015 ua dh f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.12.17.M.Sc.2015.Am.C
100 0 _aAmira Sayed Aboelyazed Tawfek
245 1 0 _aComparative studies and developments of di{uFB00}erent methods for image restoration /
_cAmira Sayed Aboelyazed Tawfek ; Supervised L. F. Abdelal , N. H. Sweilam , T. H. Farag
246 1 5 _aالدراسات المقارنة وتطورات فى أساليب مختلفة لترميم الصوره
260 _aCairo :
_bAmira Sayed Aboelyazed Tawfek ,
_c2015
300 _a95 P. :
_bcharts , facsimiles ;
_c25cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics
520 _aImage restoration refers to the problem of removal or reduction of degradation in blurred noisy image. The image degradation is usually modeled by a linear blur and an additive white noise process. The linear blur involved is always an ill-conditioned which makes image restoration problem an ill-posed problem for which the solutions are unstable. Procedures adopted to stabilize the inversion of ill-posed problem are called regularization, so the se- lection of regularization parameter is very important to the e{uFB00}ect of image restoration. In this thesis, we study some numerical methods for solving this ill-posed problem. Dynamical systems method (DSM), Tikhonov regularization method, L-curve method, and generalized cross validation (GCV) method are introduced for solving this ill-posed problem. Some test examples and comparative studies are presented. From the numerical results, we can con- clude that DSM showed improved restored images compared to L-curve method and GCV method. Parts of this thesis were published in International Journal Mathematical Sciences Letters, 2015 [143]. Also, parts of this thesis were presented in 3rd Inter- national Conference on Mathematics and Information Science (ICMIS 2013), Luxor, Egypt, 28-30 Dec. 2013.
530 _aIssued also as CD
653 4 _aImage degradation
653 4 _aImage restoration
653 4 _aInverse method
700 0 _aLaila Fahmy Abdelal ,
_eSupervisor
700 0 _aNaser Hassan Sweilam ,
_eSupervisor
700 0 _aTamer Hashem Farag ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aSoheir
_eCataloger
942 _2ddc
_cTH
999 _c54422
_d54422