DocumentCode
844008
Title
Adaptive restoration of textured images with mixed spectra
Author
Krishnamurthy, Ravi ; Woods, John W. ; Francos, Joseph M.
Author_Institution
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume
5
Issue
4
fYear
1996
fDate
4/1/1996 12:00:00 AM
Firstpage
648
Lastpage
652
Abstract
We consider the adaptive restoration of inhomogeneous textured images, where the individual regions are modeled using a Wold-like decomposition. A generalized Wiener filter is developed to accommodate mixed spectra, and unsupervised restoration is achieved by using the expectation-maximization (EM) algorithm to estimate the degradation parameters. This algorithm yields superior results when compared with supervised Wiener filtering using autoregressive (AR) image models
Keywords
Gaussian noise; Wiener filters; adaptive filters; image restoration; image segmentation; image texture; optimisation; Wold-like decomposition; adaptive restoration; autoregressive image models; degradation parameters; expectation-maximization algorithm; generalized Wiener filter; mixed spectra; modelling; supervised Wiener filtering; textured images; unsupervised restoration; AWGN; Computational modeling; Computer simulation; Degradation; Fabrics; Filtering; Image restoration; Noise generators; Pixel; Wiener filter;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.491341
Filename
491341
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