Noise limits on reconstructing diffraction signals from random tomographs
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
Research Area
Group (Lab)
Veit Elser Group
Funding Source
DE-FG02-05ER46198