NONPARAMETRIC 2-DIMENSIONAL POINT-SPREAD FUNCTION ESTIMATION FOR BIOMEDICAL IMAGING

The problem of identifying optical system point spread functions (PSFs ) arises frequently in the area of image processing and restoration. T he paper presents a method for determining two-dimensional PSFs from i nput/output image signals. The PSF of the system is determined from a set of linear equations involving elements of the input autocorrelatio n function and the input/output cross-correlation function. The result ing PSF is the one that minimises the sum of squares difference betwee n the actual output image and the predicted one.