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
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 :
image restoration; Wiener filter; blurring; constrained least squares; image motion; image restoration; mechanically degraded images; optical transfer function; point spread function; vibrations; Degradation; Image restoration; Iterative algorithms; Motion estimation; Optical films; Optical filters; Optical sensors; Transfer functions; Vibrations; Wiener filter;
Conference_Titel :
Pattern Recognition, 1994. Vol. 3 - Conference C: Signal Processing, Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6275-1
DOI :
10.1109/ICPR.1994.577139