Phase Retrieval (CTh4A)

Presider: Qing Chao, Oculus Research
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11:00 - 11:15
(UTC - 07:00)

Polarization entanglement-enabled quantum holography (CTh4A.1)
Presenter: Hugo Defienne, University of Glasgow

We introduce a holographic imaging concept that is conditioned on photonic entanglement. We show that entanglement-encoded phase images can be retrieved through dynamic phase disorder and in the presence of classical noise, with practical advantage over classical holography.

Authors:Hugo Defienne, University of Glasgow / Bienvenu Ndagano, University of Glasgow / Ashley Lyons, University of Glasgow / Daniele Faccio, University of Glasgow


11:15 - 11:30
(UTC - 07:00)

Resolution-enhanced quantitative phase imaging from transport of intensity equation: a mixed-transfer-function approach (CTh4A.2)
Presenter: Linpeng Lu, Nanjing University of Sci&Tech

We propose a mixed-transfer-function (MTF) method to address the dilemma between accuracy and resolution in phase retrieval. The high-resolution high-accuracy QPI for "nonweak" phase objects can be achieved. Experimental results demonstrate the effectiveness of MTF.

Authors:Linpeng Lu, Nanjing University of Sci&Tech / Yao Fan, Nanjing University of Sci&Tech / Jiasong Sun, Nanjing University of Sci&Tech / Jialin Zhang, Nanjing University of Sci&Tech / Xuejuan Wu, Nanjing University of Sci&Tech / Qian Chen, Nanjing University of Sci&Tech / Chao Zuo, Nanjing University of Sci&Tech


11:30 - 11:45
(UTC - 07:00)

A faster convergence path of iterative phase reconstruction by using dynamic spectrum sampling method (CTh4A.3)
Presenter: Xiao Lin, Fujian Normal University

A dynamic spectrum sampling method is proposed to provide a faster convergence path of iterative phase reconstruction. The iterative number and the phase error rate are both reduced greatly in the experiment.

Authors:Xiao Lin, Fujian Normal University / Ruixian Chen, Fujian Normal University / Jianying Hao, Fujian Normal University / Qijing Zheng, Fujian Normal University / Changyu Yu, Fujian Normal University / Suping Wang, Fujian Normal University / Xianying Qiu, Fujian Normal University / Dakui Lin, Fujian Normal University / Kun Wang, Fujian Normal University / Yi Yang, Fujian Normal University / Yuhong Ren, Fujian Normal University / Xiaodi Tan, Fujian Normal University


11:45 - 12:00
(UTC - 07:00)

Breaking Symmetries in Data-Driven Phase Retrieval (CTh4A.4)
Presenter: Raunak Manekar, University of Minnesota

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

Authors:Raunak Manekar, University of Minnesota / Kshitij Tayal, University of Minnesota / Zhong Zhuang, University of Minnesota / Chieh-Hsin Lai, University of Minnesota / Vipin Kumar, University of Minnesota / Ju Sun, University of Minnesota


12:00 - 12:15
(UTC - 07:00)

Noise Robust Fourier Phase Retrieval with Complexity Guidance (CTh4A.5)
Presenter: MANSI BUTOLA, Indian Institute of Technology Delhi

Iterative phase retrieval from noisy Fourier intensity data poses several practical difficulties. We study the hybrid input-output solution using the concept of complexity guidance and describe a novel strategy for obtaining stable solutions.

Authors:MANSI BUTOLA, Indian Institute of Technology Delhi / Sunaina Rajora, Indian Institute of Technology Delhi / Kedar Khare, Indian Institute of Technology Delhi


12:15 - 12:30
(UTC - 07:00)

Deep Phase Retrieval by a Learnable Filtered Spectral Initialization (CTh4A.6)
Presenter: David Norato, Universidad Industrial de Santander

This work proposes a deep neural network approach for the phase retrieval problem, which learns a filtered spectral initialization. Simulation results show that the proposed approach requires fewer snapshots and power iterations than state-of-the-art.

Authors:David Norato, Universidad Industrial de Santander / Andrés Jerez, Universidad Industrial de Santander / Henry Fuentes, Universidad Industrial de Santander


12:30 - 12:45
(UTC - 07:00)

Fast simulations in Computer-Generated Holograms for binary data storage (CTh4A.7)
Presenter: Manuel Ballester Matito, Northwestern University

We present an efficient simulation of the recording and playback phases of a 2D image in a reflection volume hologram. The proposed algorithm uses the free-space Green’s function propagation and assumes the Born approximation.

Authors:Manuel Ballester Matito, Northwestern University / Florian Schiffers, Northwestern University / Zihao Wang, Northwestern University / Hamid Hasani, Northwestern University / Lionel Fiske, Northwestern University / Prasan Shedligeri, Northwestern University / Jack Tumblin, Northwestern University / Florian Willomitzer, Northwestern University / Aggelos K. Katsaggelos, Northwestern University / Oliver Cossairt, Northwestern University