Origins of linear and nonlinear recursive restoration algorithms

作者: Edward S. Meinel

DOI: 10.1364/JOSAA.3.000787

关键词:

摘要: Linear and nonlinear image restoration methods have been studied in depth but always treated separately. In this paper several well-known linear are written as recursive algorithms, some new algorithms developed. The based on the assumption that noise is either a Poisson or Gaussian process. shown to be related through partial derivative, with respect object, of likelihood function. A table results given, along applications real imagery.

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