Survey of estimation techniques in image restoration

@article{Kaufman1991SurveyOE,
  title={Survey of estimation techniques in image restoration},
  author={Howard Kaufman and A. Murat Tekalp},
  journal={IEEE Control Systems},
  year={1991},
  volume={11},
  pages={16-24}
}
Blurred and noisy images can often be represented as nonstationary 2D stochastic processes that can be modeled by a set of linear space-varying state equations, or by an ARMA input-output equation with space-varying coefficients. Liner difference equation models for characterizing both images and their degraded observations are reviewed. The models are then expressed in state-space form suitable for Kalman filtering and in input-output equation form suitable for maximum likelihood parameter… CONTINUE READING