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