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
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;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559602
