DocumentCode :
2333073
Title :
Restoration of images degraded by mechanical vibrations
Author :
Hadar, O. ; Adar, Z. ; Cotter, A. ; Yitzhaky, Y. ; Kopeika, N.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear :
1995
fDate :
7-8 March 1995
Abstract :
A method of calculating numerically the optical transfer function appropriate to any type of image motion and vibration, including random ones, has been developed. This method has been verified experimentally, and the close agreement justifies implementation in image restoration for blurring deriving from any type of image motion. The goal of this research is to recover the original image from its degraded version. There are many methods of image restoration based on the point spread function. One of the common methods is the Wiener filter. Here, some image restorations of physically degraded images are presented, based on a constrained least squares improvement of the original Wiener filter. The key to restoration is determination of the optical transfer function unique to each particular image motion and vibration.
Keywords :
Wiener filters; image restoration; least squares approximations; motion estimation; optical transfer function; vibrations; Wiener filter; blurring; constrained least squares; image motion; image restoration; mechanical vibrations; optical transfer function; point spread function; Degradation; Image restoration; Iterative algorithms; Motion estimation; Optical filters; Optical imaging; Optical sensors; Transfer functions; Vibrations; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineers in Israel, 1995., Eighteenth Convention of
Conference_Location :
Tel Aviv, Israel
Print_ISBN :
0-7803-2498-6
Type :
conf
DOI :
10.1109/EEIS.1995.513833
Filename :
513833
Link To Document :
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