title: Nonparametric two-dimensional point spread function estimation for biomedical imaging.
abstract: The problem of identifying optical system point spread functions (PSFs) arises frequently in the area of image processing and restoration. The paper presents a method for determining two-dimensional PSFs from input/output image signals. The PSF of the system is determined from a set of linear equations involving elements of the input autocorrelation function and the input/output cross-correlation function. The resulting PSF is the one that minimises the sum of squares difference between the actual output image and the predicted one.
authors.affiliation: Department of Biomedical Engineering, McGill University, Montréal, Québec, Canada.
authors.forename: T D
authors.initials: TD
authors.lastname: Doukoglou
authors.forename: I W
authors.initials: IW
authors.lastname: Hunter
authors.forename: R E
authors.initials: RE
authors.lastname: Kearney
mesh_terms: D003952:Diagnostic Imaging; D006801:Humans; D008433:Mathematics; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted