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
fDate :
4/1/1996 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
