Replication Data for: Holographic Image Sensing (doi:10.21979/N9/V9AVLN)

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Replication Data for: Holographic Image Sensing

doi:10.21979/N9/V9AVLN

DR-NTU (Data)

2021-02-26

1

Ezerman, Martianus Frederic, 2021, "Replication Data for: Holographic Image Sensing", https://doi.org/10.21979/N9/V9AVLN, DR-NTU (Data), V1

Replication Data for: Holographic Image Sensing

doi:10.21979/N9/V9AVLN

Ezerman, Martianus Frederic (Nanyang Technological University)

holographic

NRF2015NRF-ISF001-2597

M4080456

DR-NTU (Data)

Ezerman, Martianus Frederic

Ezerman, Martianus Frederic

2020-05-05

https://doi.org/10.21979/N9/V9AVLN

Computer and Information Science, Mathematical Sciences, Computer and Information Science, Mathematical Sciences, holographic representation, mean squared error estimation, stochastic image data, Wiener Filter

Simulation results for various parameters, and analysis results, including some recovered images, presented in the manuscript "Holographic Image Sensing'' The software is available publicly at: <a href="https://github.com/adamasstokhorst/holographic">https://github.com/adamasstokhorst/holographic</a>

Simulation data

Source codes written in python 2.7

Information about the source codes, more instructions and examples as well as the datasets of images (target and control) used in generating the data are in the github repositories stated in the paper.

10.1137/20M1324041

Bruckstein, A. M., Ezerman, M. F., Fahreza, A. A., & Ling, S. (2021). Patch-Based Holographic Image Sensing. SIAM Journal on Imaging Sciences, 14(1), 198-223.

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the readme file. users should read this one first before anything else

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