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Noise limits on reconstructing diffraction signals from random tomographs

Cornell Affiliated Author(s)

Author

V. Elser

Abstract

An information theoretic criterion for the feasibility of reconstructing diffraction signals from noisy tomographs, when the positions of the tomographs within the signal are unknown, is derived. For shot-noise limited data, the number of detected photons per tomograph for successful reconstruction is much smaller than previously believed necessary, growing only logarithmically with the number of contrast elements of the diffracting object. Reconstruction up to the theoretic criterion is demonstrated on simulated data with an algorithm that combines the expectation-maximization (EM) principle with constraints arising from the band-limited nature of the signal. © 2009 IEEE.

Date Published

Journal

IEEE Transactions on Information Theory

Volume

55

Issue

10

Number of Pages

4715-4722,

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349611076&doi=10.1109%2fTIT.2009.2027547&partnerID=40&md5=e365643cb43c341e9189f8d72f79cf41

DOI

10.1109/TIT.2009.2027547

Group (Lab)

Veit Elser Group

Funding Source

DE-FG02-05ER46198

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