Semi-blind restoration from differently blurred visions of an image

TitleSemi-blind restoration from differently blurred visions of an image
Publication TypeConference Paper
Year of Publication1991
AuthorsWard, R. K., and E. Lam
Conference NameAcoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Pagination2949 -2952 vol.4
Date Publishedapr.
Keywordscomputation instabilities, computerised picture processing, consistency characteristics, differently blurred images, filtering and prediction theory, image restoration, maximum likelihood filter, point spread function, regression filter, semiblind restoration, Wiener filters

Restoration of an object from K differently distorted versions in the presence of additive noise is considered. The point spread function (PSF) for each observation is unknown, however a noisy measurement of it is available. The blurring processes are assumed fixed and not random. The regression, the maximum likelihood, and the Wiener filters are derived. The consistency characteristics and the computation instabilities of these filters are discussed. Experimental results comparing the performance of these filters are presented


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