Dr. James R. Fienup Profile

Dr. James R. Fienup

Professor of Optics

SPIE Involvement:

Conference Program Committee | Author

Publications (58)

SPIE Journal Paper | 19 December 2023 Open Access

Open Access

High-order coronagraphic wavefront control with algorithmic differentiation: first experimental demonstration

Scott D. Will, Marshall D. Perrin, Emiel H. Por, James Noss, Ananya Sahoo, Peter Petrone, Iva Laginja, Raphaël Pourcelot, Susan F. Redmond, Laurent Pueyo, Tyler D. Groff, James R. Fienup, Remi Soummer

JATIS, Vol. 9, Issue 04, 045004, (December 2023) https://doi.org/10.1117/12.10.1117/1.JATIS.9.4.045004

KEYWORDS: Coronagraphy, Wavefronts, Actuators, Electric fields, Matrices, Mathematical optimization, Tolerancing, Image segmentation, Nonlinear optimization, Design

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Proceedings Article | 3 October 2023 Presentation + Paper

Presentation + Paper

Multiplexed, multi-wavelength 3D digital holographic imaging methods with range unwrapping

Matthias Banet, Anand Idris, James Fienup

Proceedings Volume 12693, 1269304 (2023) https://doi.org/10.1117/12.2676428

KEYWORDS: Optical coherence, Phase unwrapping, 3D image processing, Speckle, Digital holography, Light sources and illumination, Multiplexing, Laser frequency, Discontinuities

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SPIE Journal Paper | 12 July 2023 Open Access

Open Access

Speckle decorrelation effects on motion-compensated, multi-wavelength 3D digital holography: theory and simulations

Matthias T. Banet, James R. Fienup

OE, Vol. 62, Issue 07, 073103, (July 2023) https://doi.org/10.1117/12.10.1117/1.OE.62.7.073103

KEYWORDS: Speckle, Stereoscopy, 3D image processing, Speckle pattern, Simulations, Light sources and illumination, Optical engineering, Reflectivity, Digital holography, Image processing

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Proceedings Article | 4 October 2022 Presentation + Paper

Presentation + Paper

Effects of speckle decorrelation on motion-compensated, multi-wavelength, 3D digital holography

Matthias Banet, James Fienup

Proceedings Volume 12239, 122390C (2022) https://doi.org/10.1117/12.2633068

KEYWORDS: Multiplexing, Range imaging, Speckle, 3D image processing, Speckle pattern, Surface roughness, Digital holography, Apodization, Atmospheric propagation, Image processing

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Proceedings Article | 27 August 2022 Poster + Presentation + Paper

Poster + Presentation + Paper

Machine learning wavefront sensing for the James Webb Space Telescope

Heriniaina Rajaoberison, Joseph Tang, James Fienup

Proceedings Volume 12180, 121806A (2022) https://doi.org/10.1117/12.2630621

KEYWORDS: Point spread functions, James Webb Space Telescope, Data modeling, Wavefront sensors, Wavefronts, Machine learning, Convolutional neural networks, Phase retrieval, Segmented mirrors, Computational imaging

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Proceedings Article | 1 September 2021 Presentation + Paper

Presentation + Paper

Wavefront control with algorithmic differentiation on the HiCAT testbed

Scott Will, Marshall Perrin, Emiel Por, James Noss, Ananya Sahoo, Peter Petrone, Iva Laginja, Raphael Pourcelot, Susan Redmond, Laurent Pueyo, Tyler Groff, James Fienup, Remi Soummer

Proceedings Volume 11823, 118230V (2021) https://doi.org/10.1117/12.2594283

KEYWORDS: Exoplanets, Space telescopes, Algorithms, Adaptive optics, Control systems, Actuators, Coronagraphy, Wavefronts, Optimization (mathematics), Algorithm development, Point spread functions, Wavefront sensors

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Proceedings Article | 1 August 2021 Presentation + Paper

Presentation + Paper

Phase-error mitigation in optical interferometric imaging

Zachary DeSantis, James Fienup

Proceedings Volume 11836, 118360I (2021) https://doi.org/10.1117/12.2595860

KEYWORDS: Telescopes, Image restoration, Reconstruction algorithms, Signal to noise ratio, Phase measurement, Interferometers, Interferometry, Error analysis, Optical imaging, Calibration

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Proceedings Article | 1 August 2021 Presentation + Paper

Presentation + Paper

Image sharpening on 3D intensity data in deep turbulence with scintillated illumination

Matthias Banet, James Fienup

Proceedings Volume 11836, 118360E (2021) https://doi.org/10.1117/12.2594986

KEYWORDS: Turbulence, Scintillation, Digital holography, 3D image processing, 3D image reconstruction, Image quality, Atmospheric propagation, Speckle, Digital imaging, Wave propagation

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SPIE Journal Paper | 18 February 2021

Jacobian-free coronagraphic wavefront control using nonlinear optimization

Scott Will, Tyler Groff, James Fienup

JATIS, Vol. 7, Issue 01, 019002, (February 2021) https://doi.org/10.1117/12.10.1117/1.JATIS.7.1.019002

KEYWORDS: Coronagraphy, Wavefronts, Nonlinear control, Actuators, Optimization (mathematics), Computer simulations, Detection and tracking algorithms, Reverse modeling, Wave propagation, Algorithm development

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Proceedings Article | 13 December 2020 Poster + Presentation + Paper

Poster + Presentation + Paper

Integrating bias and gain invariance with the generalized Anscombe transform for wavefront sensing

Joseph Tang, James Fienup

Proceedings Volume 11443, 1144348 (2020) https://doi.org/10.1117/12.2562416

KEYWORDS: Wavefront sensors, Phase retrieval, Optimization (mathematics), Image retrieval, Computing systems, Error analysis, Wavefronts

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SPIE Journal Paper | 1 June 2020

Development of a concave freeform surface measurement using transverse translation-diverse phase retrieval

Aaron Michalko, James Fienup

OE, Vol. 59, Issue 06, 064101, (June 2020) https://doi.org/10.1117/12.10.1117/1.OE.59.6.064101

KEYWORDS: Wavefronts, Sensors, Mirrors, Wavefront aberrations, Phase retrieval, Freeform optics, Optical engineering, Optical spheres, Metrology, Optical testing

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Proceedings Article | 9 September 2019 Presentation + Paper

Presentation + Paper

Effects and mitigation of polarization aberrations in LUVOIR coronagraph

Scott Will, James Fienup

Proceedings Volume 11117, 1111710 (2019) https://doi.org/10.1117/12.2525377

KEYWORDS: Coronagraphy, Polarization, Wavefronts, Telescopes, Diffraction, Wavefront aberrations, Wavefront compensation, Adaptive optics

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Proceedings Article | 13 May 2019 Presentation + Paper

Presentation + Paper

Machine learning for avoiding stagnation in image-based wavefront sensing

Scott Paine, James Fienup

Proceedings Volume 10980, 109800T (2019) https://doi.org/10.1117/12.2519884

KEYWORDS: Point spread functions, Wavefronts, Machine learning, Optimization (mathematics)

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Proceedings Article | 16 November 2018 Presentation + Paper

Presentation + Paper

Sharpness-based correction methods in holographic aperture ladar (HAL)

Wesley Farriss, James Fienup, Jason Stafford, Nicholas Miller

Proceedings Volume 10772, 107720K (2018) https://doi.org/10.1117/12.2320630

KEYWORDS: Turbulence, Sensors, Holography, LIDAR, Wave propagation, 3D acquisition, Atmospheric propagation, Target detection, Algorithm development, Computer simulations

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Proceedings Article | 14 September 2018 Paper

Paper

Sensitivity study of transverse translation diverse phase retrieval for freeform metrology

Aaron Michalko, James Fienup

Proceedings Volume 10742, 107420T (2018) https://doi.org/10.1117/12.2321212

KEYWORDS: Wavefronts, Phase retrieval, Freeform optics, Metrology, Wavefront aberrations, Optical testing, Computer simulations

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Proceedings Article | 12 July 2018 Paper

Paper

Using energy consistency to improve phase retrievals with discrete Fourier transform cropping

Joseph Tang, James Fienup

Proceedings Volume 10698, 106986K (2018) https://doi.org/10.1117/12.2307849

KEYWORDS: Point spread functions, Phase retrieval, Wavefronts, Fourier transforms, Data modeling, Error analysis, Algorithm development, Image retrieval, Wavefront reconstruction

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Proceedings Article | 6 July 2018 Paper

Paper

Smart starting guesses from machine learning for phase retrieval

Scott Paine, James Fienup

Proceedings Volume 10698, 106985W (2018) https://doi.org/10.1117/12.2307858

KEYWORDS: Point spread functions, Wavefronts, Machine learning, Monte Carlo methods, Data modeling, Phase retrieval, Optimization (mathematics), James Webb Space Telescope

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SPIE Journal Paper | 21 November 2017 Open Access

Open Access

Direct-detection synthetic-aperture coherent imaging by phase retrieval

James Fienup

OE, Vol. 56, Issue 11, 113111, (November 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.11.113111

KEYWORDS: Speckle, Telescopes, Phase retrieval, Heterodyning, Photons, Signal to noise ratio, Reconstruction algorithms, Image resolution, Coherence imaging, Image retrieval

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Proceedings Article | 6 September 2017 Paper

Paper

Synthetic-aperture direct-detection coherent imaging

James Fienup

Proceedings Volume 10410, 104100B (2017) https://doi.org/10.1117/12.2276949

KEYWORDS: Telescopes, Synthetic apertures, Phase retrieval, Speckle, Image restoration, Reconstruction algorithms

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Proceedings Article | 4 August 2016 Paper

Paper

Recent experiments conducted with the Wide-field imaging interferometry testbed (WIIT)

David Leisawitz, Roser Juanola-Parramon, Matthew Bolcar, James Fienup, Alexander Iacchetta, Stephen Maher, Stephen Rinehart

Proceedings Volume 9907, 99070U (2016) https://doi.org/10.1117/12.2231789

KEYWORDS: Interferometry, Interferometers, Visible radiation, Calibration, Interferometry, Stars, Mirrors, Hyperspectral simulation, CCD cameras, Visibility, Data modeling

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Proceedings Article | 29 July 2016 Paper

Paper

Wavefront-error performance characterization for the James Webb Space Telescope (JWST) Integrated Science Instrument Module (ISIM) science instruments

David Aronstein, J. Smith, Thomas Zielinski, Randal Telfer, Severine Tournois, Dustin Moore, James Fienup

Proceedings Volume 9904, 990409 (2016) https://doi.org/10.1117/12.2233842

KEYWORDS: James Webb Space Telescope, Wavefronts, Monte Carlo methods, Space telescopes, Wavefront sensors, Aerospace engineering, Silicon, Sensors, Detection and tracking algorithms, Mirrors

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The science instruments (SIs) comprising the James Webb Space Telescope (JWST) Integrated Science Instrument Module (ISIM) were tested in three cryogenic-vacuum test campaigns in the NASA Goddard Space Flight Center (GSFC)'s Space Environment Simulator (SES) test chamber. In this paper, we describe the results of optical wavefront-error performance characterization of the SIs. The wavefront error is determined using image-based wavefront sensing, and the primary data used by this process are focus sweeps, a series of images recorded by the instrument under test in its as-used configuration, in which the focal plane is systematically changed from one image to the next. High-precision determination of the wavefront error also requires several sources of secondary data, including 1) spectrum, apodization, and wavefront-error characterization of the optical ground-support equipment (OGSE) illumination module, called the OTE Simulator (OSIM), 2) f/# and pupil-distortion measurements made using a pseudo-nonredundant mask (PNRM), and 3) pupil-geometry predictions for each SI field point tested, which are complicated because of a tricontagon-shaped outer perimeter and small holes that appear in the exit pupil due to the way that different light sources are injected into the optical path by the OGSE. One set of wavefront-error tests, for the coronagraphic channel of the Near-Infrared Camera (NIRCam) Longwave instruments, was performed using data from transverse-translation diversity (TTD) sweeps instead of focus sweeps, in which a subaperture is translated and/or rotated across the exit pupil of the system from one image to the next. Several optical-performance requirements that were verified during this ISIM Element-level testing are levied on the uncertainties of various wavefront-error-related quantities rather than on the wavefront errors themselves. This paper also gives an overview of the methodology, based on Monte Carlo simulations of the wavefront-sensing analysis of focus-sweep data, used to establish the uncertainties of the wavefront-error maps.

Proceedings Article | 26 July 2016 Paper

Paper

Rotation and translation registration of bandlimited interferometric images using a chirp z-transform

Alexander Iacchetta, James Fienup, David Leisawitz

Proceedings Volume 9907, 99073G (2016) https://doi.org/10.1117/12.2232178

KEYWORDS: Image registration, Interferometry, Interferometers, Reconstruction algorithms, Interferometry, Quantization, Optimization (mathematics), Computer simulations, Signal to noise ratio, Algorithm development, Point spread functions

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Proceedings Article | 1 September 2015 Paper

Paper

Nonnegative matrix factorization for efficient hyperspectral image projection

Alexander Iacchetta, James Fienup, David Leisawitz, Matthew Bolcar

Proceedings Volume 9611, 96110Y (2015) https://doi.org/10.1117/12.2188119

KEYWORDS: Hyperspectral imaging, Interferometry, Astronomy, Projection systems, Interferometers, Digital Light Processing, Image restoration, Hyperspectral simulation, Cameras, Principal component analysis

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Proceedings Article | 7 August 2014 Paper

Paper

A numerical exploration of phase-retrieval error-metric surfaces

Alden Jurling, James Fienup

Proceedings Volume 9148, 91486N (2014) https://doi.org/10.1117/12.2056292

KEYWORDS: Phase retrieval, Spherical lenses, Wavefronts, Monochromatic aberrations, Visualization, Data modeling, Visual process modeling, Wavefront sensors, Zernike polynomials, Optimization (mathematics)

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Proceedings Article | 2 August 2014 Paper

Paper

Transverse translation diversity wavefront sensing with limited position and pupil illumination knowledge

Dustin Moore, James Fienup

Proceedings Volume 9143, 91434F (2014) https://doi.org/10.1117/12.2055180

KEYWORDS: Point spread functions, Wavefront sensors, Phase retrieval, Data modeling, Monte Carlo methods, Motion models, Error analysis, Vignetting, Wavefronts, Zernike polynomials

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Proceedings Article | 15 October 2012 Paper

Paper

Support estimation for phase retrieval image reconstruction from sparse-aperture interferometry data

Zachary DeSantis, James Fienup

Proceedings Volume 8500, 85000E (2012) https://doi.org/10.1117/12.929989

KEYWORDS: Image restoration, Image quality, Interferometry, Reconstruction algorithms, Visibility, Signal to noise ratio, Phase retrieval, Spatial frequencies, Ultraviolet radiation, Satellites

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Proceedings Article | 21 September 2011 Paper

Paper

Gigapixel synthetic-aperture digital holography

James Fienup, Abbie Tippie

Proceedings Volume 8122, 812203 (2011) https://doi.org/10.1117/12.894903

KEYWORDS: Digital holography, 3D image reconstruction, Holography, Holograms, Image restoration, Sensors, Reconstruction algorithms, Synthetic apertures, Data corrections, Digital imaging

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Proceedings Article | 10 August 2010 Paper

Paper

False diamond turning artifacts in phase retrieval results

Thomas Zielinski, James Fienup

Proceedings Volume 7731, 773156 (2010) https://doi.org/10.1117/12.857274

KEYWORDS: Phase retrieval, Metrology, Point spread functions, Wavefronts, Diamond turning, Vignetting, Error analysis, Sensors, Computer simulations, Optics manufacturing

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Proceedings Article | 5 September 2008 Paper

Paper

Image reconstruction by phase retrieval with transverse translation diversity

Manuel Guizar-Sicairos, James Fienup

Proceedings Volume 7076, 70760A (2008) https://doi.org/10.1117/12.792622

KEYWORDS: Reconstruction algorithms, Optimization (mathematics), Phase retrieval, Diffraction, Image restoration, X-ray imaging, Image resolution, Sensors, Fourier transforms, Error analysis

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Proceedings Article | 5 September 2008 Paper

Paper

Wiener filtering of aliased imagery

Samuel Thurman, James Fienup

Proceedings Volume 7076, 70760J (2008) https://doi.org/10.1117/12.794994

KEYWORDS: Imaging systems, Filtering (signal processing), Reconstruction algorithms, Spatial frequencies, Image filtering, Electronic filtering, Fourier transforms, Modulation transfer functions, Image restoration, Error analysis

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Proceedings Article | 26 August 2008 Paper

Paper

Phase error correction for multiple planes using sharpness metrics

Abbie Tippie, James Fienup

Proceedings Volume 7094, 709404 (2008) https://doi.org/10.1117/12.795193

KEYWORDS: Turbulence, Digital holography, Atmospheric propagation, Fourier transforms, Digital imaging, Speckle, Reconstruction algorithms, Holograms, Image quality, Atmospheric optics

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Proceedings Article | 26 August 2008 Paper

Paper

OTF compensation in structured illumination superresolution images

Sapna Shroff, James Fienup, David Williams

Proceedings Volume 7094, 709402 (2008) https://doi.org/10.1117/12.791052

KEYWORDS: Super resolution, Signal to noise ratio, Optical transfer functions, Spatial frequencies, Phase shifts, Fourier transforms, Imaging systems, Image processing, Visualization, Microscopy

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Proceedings Article | 24 April 2008 Paper

Paper

Analysis of the general image quality equation

Samuel Thurman, James Fienup

Proceedings Volume 6978, 69780F (2008) https://doi.org/10.1117/12.777718

KEYWORDS: Image quality, Signal to noise ratio, Visualization, Spatial resolution, Filtering (signal processing), Image resolution, Optical resolution, Sensors, Electronic filtering, Image visualization

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Proceedings Article | 15 April 2008 Paper

Paper

Phase retrieval in sparse aperture systems with phase diversity: a trade space study

Brian Daniel, Matthew Bolcar, John Schott, James Fienup

Proceedings Volume 6958, 69580K (2008) https://doi.org/10.1117/12.782191

KEYWORDS: Signal to noise ratio, Point spread functions, Sensors, Remote sensing, RGB color model, Phase retrieval, Space telescopes, Telescopes, Optical transfer functions, Mirrors

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Proceedings Article | 18 June 2007 Paper

Paper

Effect of broadband illumination on reconstruction error of phase retrieval in optical metrology

Gregory Brady, James Fienup

Proceedings Volume 6617, 66170I (2007) https://doi.org/10.1117/12.726184

KEYWORDS: Phase retrieval, Data modeling, Optical metrology, Computer simulations, Wave propagation, Spherical lenses, Reconstruction algorithms, Inverse optics, Detection and tracking algorithms, Diffraction

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Proceedings Article | 4 May 2006 Paper

Paper

Image registration for Fizeau Fourier transform imaging spectroscopy

Samuel Thurman, James Fienup

Proceedings Volume 6233, 62330S (2006) https://doi.org/10.1117/12.665593

KEYWORDS: Image registration, Spatial frequencies, Imaging spectroscopy, Imaging systems, Fourier transforms, Phased array optics, Telescopes, Optical transfer functions, Interferometers, Signal to noise ratio

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Proceedings Article | 24 August 2005 Paper

Paper

Method of phase diversity in multi-aperture systems utilizing individual sub-aperture control

Matthew Bolcar, James Fienup

Proceedings Volume 5896, 58960G (2005) https://doi.org/10.1117/12.613257

KEYWORDS: Spiral phase plates, Optical fiber cables, Optimization (mathematics), Control systems, Imaging systems, Point spread functions, Optical transfer functions, Computer simulations, Imaging spectroscopy, Error analysis

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Proceedings Article | 2 May 2005 Paper

Paper

Phase retrieval as an optical metrology tool

Gregory Brady, James Fienup

Proceedings Volume 10315, 1031517 (2005) https://doi.org/10.1117/12.605914

KEYWORDS: Phase retrieval, Wavefronts, Optical metrology, Optical testing, Detector arrays, Aspheric lenses

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Proceedings Article | 30 December 2004 Paper

Paper

Multiple Instrument Distributed Aperture Sensor (MIDAS) for planetary remote sensing

Joseph Pitman, Alan Duncan, David Stubbs, Robert Sigler, Richard Kendrick, Eric Smith, James Mason, Gregory Delory, Jere Lipps, Michael Manga, James Graham, Imke de Pater, Sarah Reiboldt, Philip Marcus, Edward Bierhaus, James Dalton, James Fienup, Jeffrey Yu

Proceedings Volume 5660, (2004) https://doi.org/10.1117/12.578430

KEYWORDS: Remote sensing, Space telescopes, Telescopes, Spatial resolution, Jupiter, Image resolution, Imaging spectroscopy, Planetary science, Spectral resolution, Planets

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Proceedings Article | 4 November 2004 Paper

Paper

Multiple instrument distributed aperture sensor (MIDAS) for remote sensing

Joseph Pitman, Alan Duncan, David Stubbs, Robert Sigler, Rick Kendrick, Eric Smith, James Mason, Greg Delory, Jere Lipps, Michael Manga, James Graham, Imke de Pater, Sarah Reiboldt, Edward Bierhaus, James Dalton, James Fienup, Jeffrey Yu

Proceedings Volume 5570, (2004) https://doi.org/10.1117/12.565710

KEYWORDS: Remote sensing, Space telescopes, Telescopes, Image resolution, Planetary science, Interfaces, Planets, Sensors, Imaging spectroscopy, Jupiter

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Proceedings Article | 1 November 2004 Paper

Paper

Remote sensing space science enabled by the multiple instrument distributed aperture sensor (MIDAS) concept

Joseph Pitman, Alan Duncan, David Stubbs, Robert Sigler, Richard Kendrick, Eric Smith, James Mason, Gregory Delory, Jere Lipps, Michael Manga, James Graham, Imke de Pater, Sarah Reiboldt, Edward Bierhaus, James Dalton, James Fienup, Jeffrey Yu

Proceedings Volume 5555, (2004) https://doi.org/10.1117/12.560290

KEYWORDS: Space telescopes, Telescopes, Remote sensing, Planetary science, Image resolution, Planets, Space operations, Sensors, Jupiter, Interfaces

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The science capabilities and features of an innovative and revolutionary approach to remote sensing imaging systems aimed at increasing the return on future planetary science missions many fold are described. Our concept, called Multiple Instrument Distributed Aperture Sensor (MIDAS), provides a large-aperture, wide-field, diffraction-limited telescope at a fraction of the cost, mass and volume of conventional space telescopes, by integrating advanced optical imaging interferometer technologies into a multi-functional remote sensing science payload. MIDAS acts as a single front-end actively controlled telescope array for use on common missions, reducing the cost, resources, complexity, and risks of developing a set of back-end science instruments (SIs) tailored to each specific mission. By interfacing to multiple science instruments, MIDAS enables either sequential or concurrent SI operations in all functional modes. Passive imaging modes enable remote sensing at diffraction-limited resolution sequentially by each SI, as well as at somewhat lower resolution by multiple SIs acting concurrently on the image, such as in different wavebands. MIDAS inherently provides nanometer-resolution hyperspectral passive imaging without the need for any moving parts in the SI's. Our optical design features high-resolution imaging for long dwell times at high altitudes, <1m GSD from the 5000km extent of spiral orbits, thereby enabling regional remote sensing of dynamic planet surface processes, as well as ultra-high resolution of 2cm GSD from a 100km science orbit that enable orbital searches for signs of life processes on the planet surface. In its active remote sensing modes, using an integrated solid-state laser source, MIDAS enables LIDAR, vibrometry, surface illumination, ablation, laser spectroscopy and optical laser communications. The powerful combination of MIDAS passive and active modes, each with sequential or concurrent SI operations, increases potential science return for space science missions many fold. For example, on a mission to the icy moons of Jupiter, MIDAS enhances detailed imaging of the geology and glaciology of the surface, determining the geochemistry of surface materials, and conducting seismic and tidal studies.

Proceedings Article | 12 October 2004 Paper

Paper

Fourier transform imaging spectroscopy with a multiple-aperture telescope: band-by-band image reconstruction

Samuel Thurman, James Fienup

Proceedings Volume 5487, (2004) https://doi.org/10.1117/12.551826

KEYWORDS: Spatial frequencies, Image restoration, Telescopes, Fourier transforms, Space telescopes, Imaging spectroscopy, Image segmentation, Imaging systems, Reconstruction algorithms, Device simulation

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Proceedings Article | 23 December 2002 Paper

Paper

Comparison of reconstruction algorithms for images from sparse-aperture systems

James Fienup, Douglas Griffith, L. Harrington, A. Kowalczyk, Jason Miller, James Mooney

Proceedings Volume 4792, (2002) https://doi.org/10.1117/12.452396

KEYWORDS: Signal to noise ratio, Filtering (signal processing), Reconstruction algorithms, Telescopes, Space telescopes, Air contamination, Modulation transfer functions, Detection and tracking algorithms, Image restoration, Image quality

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Proceedings Article | 16 November 2000 Paper

Paper

Phase error correction for synthetic-aperture phased-array imaging systems

James Fienup

Proceedings Volume 4123, (2000) https://doi.org/10.1117/12.409285

KEYWORDS: Receivers, Transmitters, Synthetic aperture radar, Antennas, Motion measurement, 3D image processing, Error analysis, Phase measurement, Sensors, Signal to noise ratio

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Proceedings Article | 31 October 2000 Paper

Paper

MTF and integration time versus fill factor for sparse-aperture imaging systems

James Fienup

Proceedings Volume 4091, (2000) https://doi.org/10.1117/12.405803

KEYWORDS: Signal to noise ratio, Modulation transfer functions, Space telescopes, Telescopes, Spatial frequencies, Image quality, Interference (communication), Interferometers, Imaging systems, Sensors

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Proceedings Article | 30 September 1999 Paper

Paper

3D imaging correlography and coherent image reconstruction

James Fienup, Richard Paxman, Michael Reiley, Brian Thelen

Proceedings Volume 3815, (1999) https://doi.org/10.1117/12.364140

KEYWORDS: Speckle, Phase retrieval, 3D image reconstruction, 3D image processing, Image retrieval, Opacity, Reconstruction algorithms, Fourier transforms, Speckle pattern, Image processing

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Proceedings Article | 11 September 1998 Paper

Paper

Comparison of phase diversity and curvature wavefront sensing

James Fienup, Brian Thelen, Richard Paxman, David Carrara

Proceedings Volume 3353, (1998) https://doi.org/10.1117/12.321701

KEYWORDS: Wavefront sensors, Wavefronts, Statistical analysis, Error analysis, Optical transfer functions, Analog electronics, Reconstruction algorithms, Adaptive optics, Telescopes, Mirrors

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Proceedings Article | 31 October 1997 Paper

Paper

3D reconstruction of opaque objects from Fourier intensity data

Michael Reiley, Richard Paxman, James Fienup, Kurt Gleichman, Joseph Marron

Proceedings Volume 3170, (1997) https://doi.org/10.1117/12.292830

KEYWORDS: Opacity, Signal detection, 3D modeling, 3D metrology, Stereoscopy, Inspection, 3D acquisition, 3D image processing, Tunable lasers, Sensors

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Proceedings Article | 31 October 1997 Paper

Paper

3D locator sets of opaque objects for phase retrieval

James Fienup, Brian Thelen, Michael Reiley, Richard Paxman

Proceedings Volume 3170, (1997) https://doi.org/10.1117/12.292818

KEYWORDS: 3D image processing, Opacity, Reconstruction algorithms, Phase retrieval, Heterodyning, Fourier transforms

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Proceedings Article | 25 October 1996 Paper

Paper

Application of superresolution algorithm to optical coherent imaging

James Fienup, Michael Kosek, Herbert Stankwitz

Proceedings Volume 2827, (1996) https://doi.org/10.1117/12.255091

KEYWORDS: Image resolution, Super resolution, Imaging systems, Fourier transforms, Coherence imaging, Microwave radiation, Radar, Synthetic aperture radar, Image processing, Image quality

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Proceedings Article | 5 June 1995 Paper

Paper

Detecting moving targets in SAR imagery by using a phase-error correction algorithm

James Fienup, A. Kowalczyk

Proceedings Volume 2487, (1995) https://doi.org/10.1117/12.210849

KEYWORDS: Target detection, Synthetic aperture radar, Detection and tracking algorithms, Image resolution, Protactinium, Radar, Image segmentation, Error analysis, Reflectors, Image processing

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SPIE Journal Paper | 1 October 1994

Gradient-search phase-retrieval algorithm for inverse synthetic-aperture radar

James Fienup

OE, Vol. 33, Issue 10, (October 1994) https://doi.org/10.1117/12.10.1117/12.181247

KEYWORDS: Detection and tracking algorithms, Reconstruction algorithms, Error analysis, Radar, Image quality, Radar imaging, Image restoration, Synthetic aperture radar, Doppler effect, Digital imaging

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Proceedings Article | 8 July 1994 Paper

Paper

Phasing sparse arrays of heterodyne receivers

James Fienup, A. Kowalczyk, J. Van Buhler

Proceedings Volume 2241, (1994) https://doi.org/10.1117/12.179731

KEYWORDS: Heterodyning, Receivers, Error analysis, Speckle, Optical testing, Inverse optics, Fourier transforms, Image filtering, Electronic filtering, Reconstruction algorithms

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Proceedings Article | 8 July 1994 Paper

Paper

Use of an opacity constraint in three-dimensional imaging

Richard Paxman, John Seldin, James Fienup, Joseph Marron

Proceedings Volume 2241, (1994) https://doi.org/10.1117/12.179730

KEYWORDS: Opacity, Reflectivity, Phase retrieval, 3D image processing, Inverse optics, Fourier transforms, Scattering, Speckle, Reconstruction algorithms, 3D metrology

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Proceedings Article | 9 November 1993 Paper

Paper

Phase-retrieval algorithm for inverse synthetic aperture radar

James Fienup

Proceedings Volume 2029, (1993) https://doi.org/10.1117/12.162021

KEYWORDS: Reconstruction algorithms, Detection and tracking algorithms, Phase retrieval, Synthetic aperture radar, Error analysis, Image restoration, Image retrieval, Fourier transforms, Digital imaging, Doppler effect

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Proceedings Article | 1 December 1991 Paper

Paper

Phase retrieval for the Hubble Space Telescope using iterative propagation algorithms

James Fienup

Proceedings Volume 1567, (1991) https://doi.org/10.1117/12.50827

KEYWORDS: Wavefronts, Phase retrieval, Point spread functions, Wave propagation, Monochromatic aberrations, Algorithm development, Hubble Space Telescope, Charge-coupled devices, Reconstruction algorithms, Telescopes

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Proceedings Article | 1 August 1991 Paper

Paper

Digital shearing laser interferometry for heterodyne array phasing

Jack Cederquist, James Fienup, Joseph Marron, Timothy Schulz, John Seldin

Proceedings Volume 1416, (1991) https://doi.org/10.1117/12.43735

KEYWORDS: Heterodyning, Error analysis, Laser interferometry, Receivers, LIDAR, Computer simulations, Reflectivity, Digital imaging, Sensors, Oscillators

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Proceedings Article | 1 November 1990 Paper

Paper

Image reconstruction using the phase variance algorithm

James Fienup

Proceedings Volume 1351, (1990) https://doi.org/10.1117/12.23673

KEYWORDS: Image restoration, Reconstruction algorithms, Fourier transforms, Image quality, Phase retrieval, Digital imaging, Image sensors, Sensors, Image retrieval, Optical signal processing

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Showing 5 of 58 publications

Proceedings Volume Editor (1)

SPIE Conference Volume | 9 November 1993

Digital Image Recovery and Synthesis II

Conference Committee Involvement (28)

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

Unconventional Imaging and Adaptive Optics 2020

24 August 2020 | Online Only, California, United States

Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2019

14 August 2019 | San Diego, California, United States

Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2018

22 August 2018 | San Diego, California, United States

Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017

9 August 2017 | San Diego, California, United States

Unconventional Imaging and Wavefront Sensing XII

31 August 2016 | San Diego, California, United States

Unconventional Imaging and Wavefront Sensing XI

13 August 2015 | San Diego, California, United States

Image Reconstruction from Incomplete Data VIII

11 August 2015 | San Diego, California, United States

Unconventional Imaging and Wavefront Sensing X

21 August 2014 | San Diego, California, United States

Unconventional Imaging and Wavefront Sensing IX

26 August 2013 | San Diego, California, United States

Image Reconstruction from Incomplete Data VII

14 August 2012 | San Diego, California, United States

Unconventional Imaging and Wavefront Sensing VIII

13 August 2012 | San Diego, California, United States

Unconventional Imaging and Wavefront Sensing VII

21 August 2011 | San Diego, California, United States

Image Reconstruction from Incomplete Data VI

2 August 2010 | San Diego, California, United States

Unconventional Imaging VI

1 August 2010 | San Diego, California, United States

Unconventional Imaging V

3 August 2009 | San Diego, California, United States

Image Reconstruction from Incomplete Data V

11 August 2008 | San Diego, California, United States

Unconventional Imaging IV

11 August 2008 | San Diego, California, United States

Unconventional Imaging III

26 August 2007 | San Diego, California, United States

Image Reconstruction from Incomplete Data IV

14 August 2006 | San Diego, California, United States

Unconventional Imaging II

13 August 2006 | San Diego, California, United States

Unconventional Imaging

31 July 2005 | San Diego, California, United States

Image Reconstruction from Incomplete Data III

2 August 2004 | Denver, Colorado, United States

Imaging Technology and Telescopes

30 July 2000 | San Diego, CA, United States

Digital Image Recovery and Synthesis II

12 July 1993 | San Diego, CA, United States

Showing 5 of 28 Conference Committees

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