DocumentCode
304564
Title
An iterative method of blur identification and image restoration
Author
Mou-Yan, Zou ; Unbehauen, Rolf
Author_Institution
Inst. of Electron., Acad. Sinica, Beijing, China
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
729
Abstract
An increment iterative blind deconvolution (IIBD) algorithm in the frequency domain is proposed for simultaneous identification of blurs and restoration of images. The algorithm is simple and efficient, and one does not need to impose a statistic presumption on the image. The a priori knowledge can be easily incorporated into the algorithm. Experiments show that the IIBD algorithms may be a practical solution to the identification and restoration problems
Keywords
Wiener filters; frequency-domain analysis; identification; image restoration; iterative methods; IIBD algorithm; a priori knowledge; blur identification; frequency domain; image restoration; increment iterative blind deconvolution; iterative method; simultaneous identification; Deconvolution; Degradation; Fourier transforms; Frequency domain analysis; Image restoration; Iterative algorithms; Iterative methods; Least squares approximation; Statistics; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.559602
Filename
559602
Link To Document