ABSTRACT
We outline a method for deconvolution of an unknown point spread function from a blurred image. The algorithm has been moderately successful for simulated noise-free data but does not always find an exact solution. However, blind deconvolution techniques are developing rapidly and it is anticipated that applications to electron microscopy may become practical when the problems of finding the optimum solution within the limits set by statistical noise are better understood.
