Breaking symmetries in data-driven phase retrieval

Raunak Manekar, Kshitij Tayal, Zhong Zhuang, Chieh Hsin Lai, Vipin Kumar, Ju Sun

Research output: Contribution to journalConference articlepeer-review


The existing iterative and data-driven methods fail to solve phase retrieval due to the intrinsic problem symmetries. We propose two end-to-end learning methods that break the barrier and work in a new regime.

Original languageEnglish (US)
Article numberCTh4A.4
JournalOptics InfoBase Conference Papers
StatePublished - 2021
EventComputational Optical Sensing and Imaging, COSI 2021 - Part of OSA Imaging and Applied Optics Congress 2021 - Virtual, Online, United States
Duration: Jul 19 2021Jul 23 2021

Bibliographical note

Publisher Copyright:
© OSA 2021, © 2021 The Author(s)


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