Adaptive restoration of textured images with mixed spectra

  • Authors:
  • R. Krishnamurthy;J. W. Woods;J. M. Francos

  • Affiliations:
  • Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 1996

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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