Identification of image and blur parameters for the restoration of noncausal blurs
An optimal statistical parameter estimation technique is presented for the identification of unknown image and blur-model parameters. Maximum likelihood estimates of the unknown parameters are derived both in the absence and in the presence of observation noise. The proposed algorithms are able to locate the zeros of the observed image spectrum on the entire Z1-Z2plane and therefore, unlike previous algorithms, are not restricted to the Fourier domain. Images restored with the proposed algorithms are shown as examples.