Abstract
A new iterative algorithm for image restoration and point spread function (PSF) estimation is presented. The method initially restores the image with the expectation maximization (EM) algorithm. The resulting estimate is then significantly improved by using the adaptive row action projection (RAP) algorithm which is based on the theory of projection onto convex sets (POCS). The PSF is re-estimated using a least squares technique. Computer simulations show the method's competitiveness in restoring degraded images and estimating the PSF from noisy blurred images with unknown PSF.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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