Prof. Casey J. Pellizzari Profile

Prof. Casey J. Pellizzari

Associate Professor

SPIE Involvement:

Conference Program Committee | Author

Proceedings Article | 7 October 2024 Presentation + Paper

Image correction and wavefront sensing with a digital holographic sensor using implicit neural representations

Casey Pellizzari, Tyler Hardy, Mark Spencer

Proceedings Volume 13149, 131490I (2024) https://doi.org/10.1117/12.3028360

KEYWORDS: Digital holography, Turbulence, Image sharpness, Data modeling, Sensors, Atmospheric modeling, Digital imaging, Holography

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Proceedings Article | 7 October 2024 Presentation + Paper

Deep turbulence sensing using digital holography

Tyler Hardy, Maya Mandyam, Cleveland Armentrout, Robert Lloyd, Nathanial George, Mark Spencer, Casey Pellizzari

Proceedings Volume 13149, 131490J (2024) https://doi.org/10.1117/12.3028342

KEYWORDS: Turbulence, Digital holography, Holograms, Imaging systems, Design, Telescopes, Cameras, Atmospheric turbulence, High speed cameras, Sampling rates

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Proceedings Article | 3 October 2023 Presentation + Paper

Dynamic DH-MBIR for low-latency wavefront estimation in the presence of atmospheric boiling

Ali Sheikh, Casey Pellizzari, Sherman Kisner, Gregery Buzzard, Charles Bouman

Proceedings Volume 12693, 1269308 (2023) https://doi.org/10.1117/12.2676406

KEYWORDS: Expectation maximization algorithms, Simulations, Atmospheric turbulence, Distortion, Wavefront sensors, Directed energy weapons, Data modeling, Air force

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Proceedings Article | 4 October 2022 Presentation + Paper

Experimental validation of model-based digital holographic imaging using multi-shot data

Timothy Bate, Daniel O'Keefe, Mark Spencer, Casey Pellizzari

Proceedings Volume 12239, 122390D (2022) https://doi.org/10.1117/12.2633499

KEYWORDS: Digital holography, Turbulence, Data modeling, Reflectivity, Expectation maximization algorithms, Speckle, Algorithm development, Holograms, Reconstruction algorithms, Model-based design

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Proceedings Article | 4 October 2022 Presentation + Paper

Solving coherent-imaging inverse problems using deep neural networks: an experimental demonstration

Casey Pellizzari, Timothy Bate, Kevin Donnelly, Mark Spencer

Proceedings Volume 12239, 122390A (2022) https://doi.org/10.1117/12.2633016

KEYWORDS: Speckle, Sensors, Algorithm development, Inverse problems, Image sensors, Neural networks

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Proceedings Article | 1 August 2021 Presentation + Paper

Model-based digital holographic imaging using mulit-shot data

Timothy Bate, Mark Spencer, Casey Pellizzari

Proceedings Volume 11836, 118360D (2021) https://doi.org/10.1117/12.2595053

KEYWORDS: Turbulence, Digital holography, Data modeling, Expectation maximization algorithms, Reflectivity, Reconstruction algorithms, Algorithm development, Speckle, Holograms, Error analysis

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Proceedings Article | 6 September 2019 Presentation + Paper

Measuring the Fried parameter of transmissive phase screens using digital-holographic detection

Samuel Horst, Cameron Radosevich, Casey Pellizzari, Mark Spencer

Proceedings Volume 11135, 111350D (2019) https://doi.org/10.1117/12.2529680

KEYWORDS: Statistical analysis, Imaging systems, Image processing, Reconstruction algorithms, Digital recording, Model-based design

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Proceedings Article | 2 July 2019 Open Access

A STEM outreach tool for demonstrating the sensing and compensation of atmospheric turbulence

Casey Pellizzari, Douglas Thornton, Connor Vikupitz, Matthew Cooper, Mark Spencer

Proceedings Volume 11143, 111431H (2019) https://doi.org/10.1117/12.2523799

KEYWORDS: Holograms, Atmospheric turbulence, Atmospheric optics, Digital holography, Laser optics, Atmospheric propagation, Image processing

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Proceedings Article | 11 May 2018 Presentation + Paper

Optically coherent image reconstruction in the presence of phase errors using advanced-prior models

Casey Pellizzari, Mark Spencer, Charles Bouman

Proceedings Volume 10650, 106500B (2018) https://doi.org/10.1117/12.2304692

KEYWORDS: Expectation maximization algorithms, Reconstruction algorithms, Digital holography, Reflectivity, Algorithm development, Holograms, Image restoration, Denoising, Imaging systems

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Proceedings Article | 20 September 2016 Presentation + Paper

Inverse synthetic aperture LADAR image construction: an inverse model-based approach

Casey Pellizzari, Charles Bouman

Proceedings Volume 9982, 99820F (2016) https://doi.org/10.1117/12.2236133

KEYWORDS: Expectation maximization algorithms, LIDAR, Model-based design, Computer simulations, Image processing, Fourier transforms, Speckle, Signal to noise ratio, Reconstruction algorithms, Algorithm development

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Proceedings Article | 17 September 2013 Paper

Inverse synthetic aperture ladar: a high-fidelity modeling and simulation tool

Casey Pellizzari, Mark Spencer, Nicholas Steinhoff, John Belsher, Glenn Tyler, Skip Williams, Stacie Williams

Proceedings Volume 8877, 88770B (2013) https://doi.org/10.1117/12.2024549

KEYWORDS: Atmospheric propagation, Sensors, Wave propagation, Speckle, Adaptive optics, Signal detection, Image processing, Computer simulations, Atmospheric modeling, LIDAR

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Proceedings Article | 15 October 2012 Paper

Intensity interferometry experiments and simulations

Casey Pellizzari, Richard Holmes, Keith Knox

Proceedings Volume 8520, 85200J (2012) https://doi.org/10.1117/12.930537

KEYWORDS: Telescopes, Sensors, Interferometry, Receivers, Signal to noise ratio, Speckle, Data archive systems, Data processing, Data storage, Atmospheric propagation

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Showing 5 of 12 publications

Conference Committee Involvement (5)

Unconventional Imaging, Sensing, and Adaptive Optics 2025

3 August 2025 | San Diego, California, United States

Unconventional Imaging, Sensing, and Adaptive Optics 2024

19 August 2024 | San Diego, California, United States

Unconventional Imaging, Sensing, and Adaptive Optics 2023

21 August 2023 | San Diego, California, United States

Unconventional Imaging and Adaptive Optics 2022

23 August 2022 | San Diego, California, United States

Unconventional Imaging and Adaptive Optics 2021

3 August 2021 | San Diego, California, United States

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