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Adaptive restoration of textured images with mixed spectra

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3 Author(s)
Krishnamurthy, R. ; Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA ; Woods, J.W. ; Francos, J.M.

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

Published in:

Image Processing, IEEE Transactions on  (Volume:5 ,  Issue: 4 )