DocumentCode :
2032376
Title :
Regularization and image restoration using differential equations
Author :
You, Yu-Li ; Kaveh, M.
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume :
5
fYear :
1993
fDate :
27-30 April 1993
Firstpage :
285
Abstract :
Linear image restoration is posted as a solution to a set of ordinary differential equations (ODEs). Explicit and implicit Euler methods are used to integrate this set of ODEs. The explicit method introduces a regularization operator in the Van Cittert method, while the implicit method leads to the Tikhonov-Miller restoration. Since both methods are simply numerical integration procedures for the same set of ODEs, the extended Van Cittert method and Tikhonov-Miller method are shown to be approximately equivalent in performance if a conversion formula is followed. An analysis of the difference between the restorations by the two methods is presented and the ramifications of this conversion formula are discussed.<>
Keywords :
image reconstruction; integration; linear differential equations; Euler methods; Tikhonov-Miller restoration; Van Cittert method; conversion formula; image restoration; numerical integration procedures; ordinary differential equations; performance; regularization operator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.1993.319803
Filename :
319803
Link To Document :
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