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Massively Parallel Spatially-Variant Maximum Likelihood Image Restoration

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Abstract

We consider a massively parallel implementation of Richardson-Lucy or maximum likelihood restoration with a spatially-variant point spread function (PSF). Richardson-Lucy iterates involve the computation of sums of the form: where O(x'q) is the incident optical field estimate at discrete source location x'q, I(xq) is the measured discrete image at discrete field location xq, and P(xq, x'q) is the discrete PSF – the probability that a photon from source region x'q is incident on the detector at field region xq. In general P is a function of source and field coordinates, and the computational burden of Eq. 1 is intractably large.

© 1995 Optical Society of America

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