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Object reconstruction from photon-limited centroided data of randomly translating images

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Abstract

Centroiding is investigated as a simple and computationally fast technique of object reconstruction, at low light level, from randomly translating images. A relationship between the spectrum of the average N-photon centroided frame and the object spectrum is presented as well as an algorithm for retrieving the phase in the case of one-dimensional objects. Computer-simulated data are used to test the relationship and the reconstruction algorithm.

© 1988 Optical Society of America

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