Adaptive restoration of textured images with mixed spectra

Ravi Krishnamurthy, John W. Woods, Joseph M. Francos

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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.

Original languageEnglish
Pages (from-to)648-652
Number of pages5
JournalIEEE Transactions on Image Processing
Issue number4
StatePublished - 1 Dec 1996

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design


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