Efficient coherent diffractive imaging for sparsely varying objects

Yoav Shechtman*, Yonina C. Eldar, Oren Cohen, Mordechai Segev

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

We demonstrate an efficient phase-retrieval method, allowing the recovery of features of dynamic objects that are sparsely varying - i.e. when the difference between two consecutive frames is small. The method uses redundancy in information between similar consecutive frames to recover the features more robustly than current phase-retrieval methods, and necessitates a considerably smaller number of measurements. Both of these features directly lead to shorter acquisition time, paving the way to coherent diffractive imaging of fast dynamic processes. Numerical simulations show a possible 100-fold improvement in temporal resolution over existing methods.

Original languageEnglish
Pages (from-to)6327-6338
Number of pages12
JournalOptics Express
Volume21
Issue number5
DOIs
StatePublished - 11 Mar 2013
Externally publishedYes

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