title: Adaptive restoration of textured images with mixed spectra.
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.
authors.affiliation: Dept. of Electr. Comput. and Syst. Eng., Rensselaer Polytech. Inst., Troy, NY.
authors.forename: R
authors.initials: R
authors.lastname: Krishnamurthy
authors.forename: J W
authors.initials: JW
authors.lastname: Woods
authors.forename: J M
authors.initials: JM
authors.lastname: Francos