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An Approach to Bias Removal in Photon-Limited Speckle Imaging

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Abstract

Because the spatial power spectrum of an object can be estimated from photon-limited speckle images of the object, and because any shift-and-add image is ideally a convolution of the true image with some (unknown) psf, and because blind deconvolution of a single blurred image is always feasible in principle, self-calibrating bias-removal schemes are possible for photon-limited shift-and-add images, as will be demonstrated theoretically in this paper.

© 1989 Optical Society of America

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