WikiSysop: Created page with "== Citation == Marshall, N. F.; Lan, T.-Y.; Bendory, T., Singer, A. Image recovery from rotational and translational invariants. Proc. IEEE Intl. Conf. ICASSP, 2020, 5780-578..."

2020-07-09T07:11:17Z

Created page with "== Citation == Marshall, N. F.; Lan, T.-Y.; Bendory, T., Singer, A. Image recovery from rotational and translational invariants. Proc. IEEE Intl. Conf. ICASSP, 2020, 5780-578..."

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== Citation ==

Marshall, N. F.; Lan, T.-Y.; Bendory, T., Singer, A. Image recovery from rotational and translational invariants. Proc. IEEE Intl. Conf. ICASSP, 2020, 5780-5784

== Abstract ==

We introduce a framework for recovering an image from
its rotationally and translationally invariant features based
on autocorrelation analysis. This work is an instance of the
multi-target detection statistical model, which is mainly used
to study the mathematical and computational properties of
single-particle reconstruction using cryo-electron microscopy
(cryo-EM) at low signal-to-noise ratios. We demonstrate
with synthetic numerical experiments that an image can be
reconstructed from rotational and translational invariants and
show that the reconstruction is robust to noise. These results
constitute an important step towards the goal of structure
determination of small biomolecules using cryo-EM.

== Keywords ==

== Links ==

https://ieeexplore.ieee.org/abstract/document/9053932

== Related software ==

== Related methods ==

== Comments ==

2020Marshall Invariants - Revision history

WikiSysop: Created page with "== Citation == Marshall, N. F.; Lan, T.-Y.; Bendory, T., Singer, A. Image recovery from rotational and translational invariants. Proc. IEEE Intl. Conf. ICASSP, 2020, 5780-578..."