Prof. Mark A. Neifeld Profile

Prof. Mark A. Neifeld

Associate Professor at Univ of Arizona

SPIE Involvement:

Editor | Author

Publications (47)

Proceedings Article | 14 May 2018 Presentation

Simulated performance comparison of staring, scanning and multiplexed imagers (Conference Presentation)

Abhijit Mahalanobis, Mark Neifeld

Proceedings Volume 10648, 1064806 (2018) https://doi.org/10.1117/12.2326877

KEYWORDS: Imaging systems, Device simulation, Multiplexing, Cameras, Staring arrays, Computing systems

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SPIE Journal Paper | 22 August 2017

High-resolution imaging using a translating coded aperture

Abhijit Mahalanobis, Richard Shilling, Robert Muise, Mark Neifeld

OE, Vol. 56, Issue 08, 084106, (August 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.8.084106

KEYWORDS: Staring arrays, Image resolution, Sensors, Reconstruction algorithms, Coded apertures, Coded aperture imaging, Motion models, Spatial resolution, Imaging systems, Cameras

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Proceedings Article | 7 June 2017 Presentation

Adaptive x-ray threat detection using sequential hypotheses testing with fan-beam experimental data (Conference Presentation)

Ratchaneekorn Thamvichai, Liang-Chih Huang, Amit Ashok, Qian Gong, David Coccarelli, Joel Greenberg, Michael Gehm, Mark Neifeld

Proceedings Volume 10187, 101870A (2017) https://doi.org/10.1117/12.2266756

KEYWORDS: Adaptive optics, X-ray optics, Digital x-ray imaging, X-ray imaging, Current controlled current source, X-rays, Data acquisition, Error analysis, X-ray detectors

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SPIE Journal Paper | 8 December 2016

Computed tomography imaging system design for shape threat detection

Ahmad Masoudi, Ratchaneekorn Thamvichai, Mark Neifeld

OE, Vol. 56, Issue 04, 041308, (December 2016) https://doi.org/10.1117/12.10.1117/1.OE.56.4.041308

KEYWORDS: Optical engineering, Photons, Multiplexing, Sensors, Imaging systems, Computed tomography, Signal to noise ratio, Mahalanobis distance, X-rays, Detector arrays

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Proceedings Article | 17 May 2016 Paper

Transformation optics relay lens design for imaging from a curved to a flat surface

Julia Wetherill, Richard Lepkowicz, Ramzi Zahreddine, Mark Neifeld

Proceedings Volume 9822, 98220U (2016) https://doi.org/10.1117/12.2228123

KEYWORDS: Relays, Staring arrays, Image resolution, Image quality, Optics manufacturing, Cameras, Metamaterials, Sensors, Geometrical optics, Magnetism

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Proceedings Article | 12 May 2016 Paper

Shape threat detection via adaptive computed tomography

Ahmad Masoudi, Ratchaneekorn Thamvichai, Mark Neifeld

Proceedings Volume 9847, 98470H (2016) https://doi.org/10.1117/12.2223348

KEYWORDS: Image restoration, Detection and tracking algorithms, X-ray imaging, X-rays, Computed tomography, X-ray detectors, Imaging systems, Reconstruction algorithms, Sensors, Systems modeling

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Proceedings Article | 15 March 2016 Paper

An adaptation method to improve secret key rates of time-frequency QKD in atmospheric turbulence channels

Xiaole Sun, Ivan Djordjevic, Mark Neifeld

Proceedings Volume 9739, 97390Z (2016) https://doi.org/10.1117/12.2213035

KEYWORDS: Transmittance, Quantum key distribution, Scintillation, Free space optics, Autoregressive models, Time-frequency analysis, Atmospheric turbulence, Information security, Turbulence, Atmospheric optics

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Proceedings Article | 14 May 2015 Paper

Computational imaging in a multiplexed imager with static multispectral encoding

Johann Veras, Robert Muise, Kevin Hines, Abhijit Mahalanobis, Mark Neifeld

Proceedings Volume 9484, 948407 (2015) https://doi.org/10.1117/12.2177062

KEYWORDS: Image resolution, Staring arrays, Imaging systems, Spatial light modulators, Signal to noise ratio, Multispectral imaging, Data modeling, Multiplexing, Compressed sensing, Computer programming

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Proceedings Article | 13 October 2014 Paper

Efficient quantum key distribution based on pulse-position modulation

Yequn Zhang, Ivan Djordjevic, Mark Neifeld

Proceedings Volume 9254, 92540C (2014) https://doi.org/10.1117/12.2067135

KEYWORDS: Quantum key distribution, Sensors, Modulation, Information security, Quantum efficiency, Photodetectors, Single photon, Error analysis, Security technologies, Transmittance

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Proceedings Article | 8 September 2011 Paper

Compressive light field imaging with weighted random projections

Amit Ashok, Mark Neifeld

Proceedings Volume 8165, 816519 (2011) https://doi.org/10.1117/12.894367

KEYWORDS: Wavelets, Imaging systems, Image compression, Spatial frequencies, Spatial resolution, Signal to noise ratio, Detector arrays, Solids, Image resolution, Discrete wavelet transforms

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Proceedings Article | 3 June 2011 Paper

Space-time feature-specific imaging

Vicha Treeaporn, Amit Ashok, Mark Neifeld

Proceedings Volume 8056, 80560P (2011) https://doi.org/10.1117/12.884440

KEYWORDS: Imaging systems, Image compression, Staring arrays, Compressive imaging, Discrete wavelet transforms, Sensors, Video, Image processing, Photodetectors, Optical components

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Proceedings Article | 28 August 2010 Paper

Adaptive compressive imaging for object reconstruction

Jun Ke, Amit Ashok, Mark Neifeld

Proceedings Volume 7818, 781809 (2010) https://doi.org/10.1117/12.861738

KEYWORDS: Signal to noise ratio, Imaging systems, Sensors, Compressive imaging, Reconstruction algorithms, Error analysis, Spatial light modulators, Radon, Electronics engineering, Wavelets

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Proceedings Article | 14 May 2010 Paper

Compressive light field imaging

Amit Ashok, Mark Neifeld

Proceedings Volume 7690, 76900Q (2010) https://doi.org/10.1117/12.852738

KEYWORDS: Imaging systems, Image compression, Sensors, Spatial resolution, Signal to noise ratio, Image sensors, Optical testing, Time metrology, Detector arrays, Image resolution

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Proceedings Article | 22 August 2009 Paper

Adaptive feature-specific imaging

Mark Neifeld, Pawan Baheti

Proceedings Volume 7468, 746807 (2009) https://doi.org/10.1117/12.826257

KEYWORDS: Imaging systems, Signal to noise ratio, Feature extraction, Databases, Sensors, Silicon, Photons, Solids, Time metrology, Adaptive optics

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Proceedings Article | 21 August 2009 Paper

Modeling channel interference in an orbital angular momentum-multiplexed laser link

Jaime Anguita, Mark Neifeld, Bane Vasic

Proceedings Volume 7464, 74640U (2009) https://doi.org/10.1117/12.826097

KEYWORDS: Turbulence, Atmospheric propagation, Receivers, Wave propagation, Free space optical communications, Laser communications, Atmospheric turbulence, Wavefronts, Free space optics, Laser beam propagation

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Proceedings Article | 19 August 2008 Paper

Direct reconstruction of difference images from optimal spatial-domain projections

Shikhar Uttam, Nathan Goodman, Mark Neifeld

Proceedings Volume 7096, 709608 (2008) https://doi.org/10.1117/12.795380

KEYWORDS: Imaging systems, Image restoration, Transmittance, Error analysis, Video, Performance modeling, Feature extraction, Sensors, Matrices, Computer engineering

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Proceedings Article | 19 August 2008 Paper

Design and analysis of a coded aperture imaging system with engineered PSFs for wide field of view imaging

Abhijit Mahalanobis, Mark Neifeld, B. V. K. Vijaya Kumar, Tom Haberfelde

Proceedings Volume 7096, 70960C (2008) https://doi.org/10.1117/12.798302

KEYWORDS: Point spread functions, Prisms, Imaging systems, Staring arrays, Colorimetry, Image resolution, Coded aperture imaging, Image filtering, Filtering (signal processing), Fourier transforms

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Proceedings Article | 19 August 2008 Paper

Optically multiplexed imaging with superposition space tracking

Shikhar Shikhar, Nathan Goodman, Mark Neifeld, Changsoon Kim, Jungsang Kim, David Brady

Proceedings Volume 7096, 709607 (2008) https://doi.org/10.1117/12.795150

KEYWORDS: Superposition, Computer programming, Multiplexing, Camera shutters, Imaging systems, Staring arrays, Optical tracking, Compressive imaging, Cameras, Sensors

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Proceedings Article | 24 April 2008 Paper

Recent developments in coded aperture multiplexed imaging systems

A. Mahalanobis, C. Reyner, T. Haberfelde, Mark Neifeld, B. V. K. Vijaya Kumar

Proceedings Volume 6978, 69780G (2008) https://doi.org/10.1117/12.781462

KEYWORDS: Prisms, Point spread functions, Imaging systems, Coded apertures, Multiplexing, Staring arrays, Image resolution, Metals, Refractive index, Diffraction

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Proceedings Article | 23 October 2007 Paper

Folded holographic imaging system

Nasrin Ghanbari, Raymond Kostuk, Mark Neifeld

Proceedings Volume 6675, 66750O (2007) https://doi.org/10.1117/12.732247

KEYWORDS: Imaging systems, Holograms, Holography, Signal to noise ratio, Ray tracing, Cameras, Vignetting, Charge-coupled devices, Optical design, Chemical elements

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Proceedings Article | 26 September 2007 Paper

IR performance study of an adaptive coded aperture "diffractive imaging" system employing MEMS "eyelid shutter" technologies

A. Mahalanobis, C. Reyner, H. Patel, T. Haberfelde, David Brady, Mark Neifeld, B.V.K. Vijaya Kumar, Stanley Rogers

Proceedings Volume 6714, 67140D (2007) https://doi.org/10.1117/12.745956

KEYWORDS: Point spread functions, Coded apertures, Sensors, Imaging systems, Microelectromechanical systems, Signal to noise ratio, Staring arrays, Eye models, Infrared imaging, Camera shutters

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Adaptive coded aperture sensing is an emerging technology enabling real time, wide-area IR/visible sensing and imaging. Exploiting unique imaging architectures, adaptive coded aperture sensors achieve wide field of view, near-instantaneous optical path repositioning, and high resolution while reducing weight, power consumption and cost of air- and space born sensors. Such sensors may be used for military, civilian, or commercial applications in all optical bands but there is special interest in diffraction imaging sensors for IR applications. Extension of coded apertures from Visible to the MWIR introduces the effects of diffraction and other distortions not observed in shorter wavelength systems. A new approach is being developed under the DARPA/SPO funded LACOSTE (Large Area Coverage Optical search-while Track and Engage) program, that addresses the effects of diffraction while gaining the benefits of coded apertures, thus providing flexibility to vary resolution, possess sufficient light gathering power, and achieve a wide field of view (WFOV). The photonic MEMS-Eyelid "sub-aperture" array technology is currently being instantiated in this DARPA program to be the heart of conducting the flow (heartbeat) of the incoming signal. However, packaging and scalability are critical factors for the MEMS "sub-aperture" technology which will determine system efficacy as well as military and commercial usefulness. As larger arrays with 1,000,000+ sub-apertures are produced for this LACOSTE effort, the available Degrees of Freedom (DOF) will enable better spatial resolution, control and refinement on the coding for the system. Studies (SNR simulations) will be performed (based on the Adaptive Coded Aperture algorithm implementation) to determine the efficacy of this diffractive MEMS approach and to determine the available system budget based on simulated bi-static shutter-element DOF degradation (1%, 5%, 10%, 20%, etc..) trials until the degradation level where it is perceived to necessitate component replacement. System performance impacts, from DOF degradation, will manifest in a spatially random method.

Proceedings Article | 25 April 2007 Paper

Task-specific information: an imaging system analysis tool

Amit Ashok, Pawan Baheti, Mark Neifeld

Proceedings Volume 6575, 65750G (2007) https://doi.org/10.1117/12.720878

KEYWORDS: Imaging systems, Target detection, Signal to noise ratio, Computer programming, Sensors, Image compression, Error analysis, Classification systems, Binary data, Stochastic processes

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Proceedings Article | 25 April 2007 Paper

Applications of adaptive feature-specific imaging

Jun Ke, Pawan Baheti, Mark Neifeld

Proceedings Volume 6575, 657505 (2007) https://doi.org/10.1117/12.720940

KEYWORDS: Reconstruction algorithms, Target detection, Detection and tracking algorithms, Imaging systems, Image restoration, Sensors, Signal to noise ratio, Compressive imaging, Principal component analysis, Time metrology

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Proceedings Article | 25 April 2007 Paper

Wavelet priors for multiframe image restoration

Premchandra Shankar, Mark Neifeld

Proceedings Volume 6575, 65750D (2007) https://doi.org/10.1117/12.720939

KEYWORDS: Wavelets, Image restoration, Signal to noise ratio, Lawrencium, Magnetorheological finishing, Imaging systems, Charge-coupled devices, Cameras, Multichannel imaging systems, Reconstruction algorithms

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Proceedings Article | 12 March 2007 Paper

Designing optimal gain profiles for slow-light applications

Ravi Pant, Michael Stenner, Mark Neifeld

Proceedings Volume 6482, 64820R (2007) https://doi.org/10.1117/12.716468

KEYWORDS: Distortion, Absorption, Computing systems, Eye, Solids, Refractive index, Computer engineering, Scattering, Optical fibers, Optical signal processing

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Proceedings Article | 1 September 2006 Paper

Multi-beam space-time coded systems for optical atmospheric channels

Jaime Anguita, Mark Neifeld, Bane Vasic

Proceedings Volume 6304, 63041B (2006) https://doi.org/10.1117/12.681488

KEYWORDS: Receivers, Scintillation, Free space optics, Sensors, Transmitters, Atmospheric optics, Error control coding, Signal to noise ratio, Turbulence, Telecommunications

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Proceedings Article | 30 August 2006 Paper

On the computation of the coherent point-spread function using a low-complexity representation

Saeed Bagheri, Daniela Pucci de Farias, George Barbastathis, Mark Neifeld

Proceedings Volume 6311, 631108 (2006) https://doi.org/10.1117/12.680632

KEYWORDS: Point spread functions, Diffraction, Wavefronts, Imaging systems, Monochromatic aberrations, Algorithm development, Fourier transforms, Optical spheres, Distortion, Numerical simulations

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Proceedings Article | 18 May 2006 Paper

Recent progress on multidomain optimization for ultrathin cameras

Amit Ashok, Mark Neifeld

Proceedings Volume 6232, 62320N (2006) https://doi.org/10.1117/12.668280

KEYWORDS: Imaging systems, Point spread functions, Detector arrays, Signal to noise ratio, Image resolution, Sensors, Image quality, Cameras, Optical engineering, Computer programming

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Proceedings Article | 31 August 2005 Paper

High-rate error-correction codes for the optical atmospheric channel

Jaime Anguita, Ivan Djordjevic, Mark Neifeld, Bane Vasic

Proceedings Volume 5892, 58920V (2005) https://doi.org/10.1117/12.615760

KEYWORDS: Turbulence, Remote sensing, Signal to noise ratio, Free space optics, Telecommunications, Atmospheric optics, Channel projecting optics, Receivers, Atmospheric turbulence, Scintillation

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Proceedings Article | 25 May 2005 Paper

Multiframe image restoration with the 2D4 algorithm

Premchandra Shankar, Mark Neifeld

Proceedings Volume 5817, (2005) https://doi.org/10.1117/12.602654

KEYWORDS: Image restoration, Binary data, Reconstruction algorithms, Detection and tracking algorithms, Point spread functions, Imaging systems, Sensors, Digital imaging, Data communications, Image resolution

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Proceedings Article | 25 May 2005 Paper

Minimum reconstruction error in feature-specific imaging

Jun Ke, Michael Stenner, Mark Neifeld

Proceedings Volume 5817, (2005) https://doi.org/10.1117/12.603059

KEYWORDS: Principal component analysis, Imaging systems, Sensors, Stochastic processes, Photons, Signal to noise ratio, Matrices, Chemical elements, Error analysis, CCD cameras

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Proceedings Article | 2 November 2004 Paper

Optimal rate allocation for joint compression and classification in JPEG 2000

Ali Tabesh, Michael Marcellin, Mark Neifeld

Proceedings Volume 5558, (2004) https://doi.org/10.1117/12.564824

KEYWORDS: Image compression, Distortion, Bismuth, Wavelets, Quantization, Image classification, JPEG2000, Target recognition, Target detection, Algorithm development

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Proceedings Article | 23 June 2003 Paper

Compression of LADAR imagery

Joseph Dagher, Michael Marcellin, Mark Neifeld

Proceedings Volume 5150, (2003) https://doi.org/10.1117/12.503160

KEYWORDS: Image compression, Sensors, 3D image processing, LIDAR, JPEG2000, 3D metrology, Computer programming, Clouds, Image processing, Data acquisition

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Proceedings Article | 28 August 2001 Paper

Information-optimized imaging system design

Mark Neifeld

Proceedings Volume 4388, (2001) https://doi.org/10.1117/12.438248

KEYWORDS: Imaging systems, Optical design, Sensors, Visualization, Signal processing, Lenses, Diffraction, Computer engineering, Photography, Satellite imaging

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Imaging systems have historically been associated with visual applications. Example applications include conventional photography, satellite imaging, and scientific visualization. Performance metrics relevant to these applications have traditionally been focused on visual quality and for such applications many conventional optical design metrics (e.g., worstcase spot size) can provide acceptable performance.[1] Recent imaging applications however, have broken with this tradition and are concerned with information-sensitive performance metrics (e.g., bit-error-rate). Examples of such imaging systems include those used in page-oriented optical storage, optical interconnects, and various forms of task-specific imaging (e.g., target recognition).[2][3] The ubiquitous nature ofdigital imaging modalities has made the need for fidelity-sensitive imaging system design even more apparent, with sensors and signal processing hardware k outpacing the perfonnance of low cost optical components. An information-optimized imaging system is one that takes as its primary goal the information throughput of the system. Notice that this goal can be very different from that of forming a "pretty picture." In this paper we limit our attention to binary-valued objects and within this framework we consider two cases. The first case will focus on diffraction-limited imaging systems whose performance is quantified via the average pixelwise mutual information. In section 2 we define the information-theoretic space-bandwidth-product (SBP) of such a system and demonstrate the existence of an optimal object configuration. The second case we consider is more realistic and includes the optical aberrations that characterize real world lenses. In this case we use the average bit-error-rate (BER) of the output image to quantify the overall imaging system performance. In section 3 we present the results of this case along with a comparison between some information-optimized designs and those based on more conventional design metrics.

Proceedings Article | 24 May 2000 Paper

Improved multiplexing density in volume holographic memories through beam apodization

Brian King, Mark Neifeld, Xuewen Chen

Proceedings Volume 4089, (2000) https://doi.org/10.1117/12.386816

KEYWORDS: Apodization, Multiplexing, Diffraction, Absorption, Holography, Crystals, Volume holography, Holograms, Laser crystals, Fourier transforms

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Proceedings Article | 22 November 1999 Paper

Likelihood-based error correction for holographic storage systems

Mark Neifeld, Wu-Chun Chou

Proceedings Volume 3802, (1999) https://doi.org/10.1117/12.370247

KEYWORDS: Remote sensing, Holography, Detection and tracking algorithms, Signal to noise ratio, Computing systems, Optical storage, Volume holography, Sensors, Data storage, Charge-coupled devices

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Proceedings Article | 22 November 1999 Paper

Unequal a priori probabilities for holographic storage

Brian King, Mark Neifeld

Proceedings Volume 3802, (1999) https://doi.org/10.1117/12.370246

KEYWORDS: Diffraction, Holography, Computer programming, Data storage, Information operations, Binary data, Volume holography, Holograms, Data centers, Photovoltaics

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SPIE Journal Paper | 1 November 1999

Image binarization techniques for correlation-based pattern recognition

W. Hasenplaugh, Mark Neifeld

OE, Vol. 38, Issue 11, (November 1999) https://doi.org/10.1117/12.10.1117/1.602241

KEYWORDS: Binary data, Signal to noise ratio, Phase only filters, Image compression, Image filtering, Transistors, Spatial filters, Detection and tracking algorithms, Tolerancing, Optical engineering

Proceedings Article | 22 May 1998 Paper

Two-dimensional equalization in holographic optical memory

Mark Neifeld, Keith Chugg, Xiaopeng Chen

Proceedings Volume 3490, (1998) https://doi.org/10.1117/12.308962

KEYWORDS: Holography, Optical storage, Signal to noise ratio, Sensors, Electronic filtering, Data storage, Systems modeling, Spatial light modulators, Imaging systems, Linear filtering

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Proceedings Article | 22 September 1997 Paper

Reference beam apodization in angularly multiplexed volume holography

Mark Neifeld, Mark McDonald, Brian King

Proceedings Volume 3137, (1997) https://doi.org/10.1117/12.287774

KEYWORDS: Apodization, Holograms, Absorption, Volume holography, Holography, Multiplexing, Data storage, Error analysis, Monte Carlo methods, Solids

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Proceedings Article | 18 August 1995 Paper

Improvements in the data fidelity of photorefractive memories

Mark Neifeld

Proceedings Volume 2529, (1995) https://doi.org/10.1117/12.216995

KEYWORDS: Optical storage, Crystals, Optical design, Data storage, Signal to noise ratio, Remote sensing, Interfaces, Holography, Lens design, Very large scale integration

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Proceedings Article | 21 October 1994 Paper

Adjacent detector cross-talk in CMOS smart detector arrays

Jerry Hayes, Mark Neifeld, Satish Sridharan, Richard Ziolkowski

Proceedings Volume 2291, (1994) https://doi.org/10.1117/12.190899

KEYWORDS: Sensors, Waveguides, Detector arrays, Waveguide modes, CMOS sensors, Glasses, Metals, Diffusion, Interfaces, Light scattering

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Proceedings Article | 29 June 1994 Paper

Adaptive-optical radial-basis-function neural network for handwritten digit recognition

Wesley Foor, Mark Neifeld

Proceedings Volume 2240, (1994) https://doi.org/10.1117/12.179121

KEYWORDS: Neural networks, Computing systems, Computer simulations, Spatial light modulators, Adaptive optics, Optical networks, Data modeling, Optical signal processing, Systems modeling, Classification systems

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Proceedings Article | 9 November 1993 Paper

Optical and electronic error correction schemes for highly parallel access memories

Mark Neifeld, Jerry Hayes

Proceedings Volume 2026, (1993) https://doi.org/10.1117/12.163604

KEYWORDS: Sensors, Remote sensing, Very large scale integration, Clocks, Optical storage, Detection and tracking algorithms, Optical testing, Detector arrays, Diodes, Optical fabrication

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Proceedings Article | 2 March 1993 Paper

Micromachined 50-um x 250-um silicon torsional mirror arrays for optical signal processing

Pin-Ju Hsiang, Augusto Garcia-Valenzuela, Mark Neifeld, Massood Tabib-Azar

Proceedings Volume 1793, (1993) https://doi.org/10.1117/12.141216

KEYWORDS: Mirrors, Silicon, Electrodes, Integrated optics, Optical signal processing, Spatial light modulators, Photodetectors, Optical arrays, Sensors, Modulators

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Proceedings Article | 27 December 1990 Paper

Optical disk implementation of radial-basis classifiers

Mark Neifeld, Subrata Rakshit, Alan Yamamura, S. Kobayashi, Demetri Psaltis

Proceedings Volume 1347, (1990) https://doi.org/10.1117/12.23389

KEYWORDS: Optical discs, Optical character recognition, Image classification, Optical signal processing

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Proceedings Article | 1 July 1990 Paper

Optoelectronic multilayer network

Alan Yamamura, Seiji Kobayashi, Mark Neifeld, Demetri Psaltis

Proceedings Volume 1215, (1990) https://doi.org/10.1117/12.18100

KEYWORDS: Neurons, Binary data, Holograms, Optoelectronics, Optical discs, Transistors, Neural networks, Photodiodes, Light emitting diodes, Integrated optics

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Showing 5 of 47 publications

Proceedings Volume Editor (10)

SPIE Conference Volume | 16 July 2018

Anomaly Detection and Imaging with X-Rays (ADIX) III

SPIE Conference Volume | 22 June 2017

Anomaly Detection and Imaging with X-Rays (ADIX) II

SPIE Conference Volume | 22 June 2016

Anomaly Detection and Imaging with X-Rays (ADIX)

SPIE Conference Volume | 4 June 2012

Visual Information Processing XXI

SPIE Conference Volume | 10 May 2011

Visual Information Processing XX

Showing 5 of 10 publications

Conference Committee Involvement (27)

Optics and Photonics for Information Processing XVI

24 August 2022 | San Diego, California, United States

Optics and Photonics for Information Processing XV

4 August 2021 | San Diego, California, United States

Optics and Photonics for Information Processing XIV

23 August 2020 | Online Only, California, United States

Optics and Photonics for Information Processing XIII

13 August 2019 | San Diego, California, United States

Optics and Photonics for Information Processing XII

19 August 2018 | San Diego, California, United States

Anomaly Detection and Imaging with X-Rays (ADIX) III

17 April 2018 | Orlando, FL, United States

Optics and Photonics for Information Processing XI

7 August 2017 | San Diego, California, United States

Anomaly Detection and Imaging with X-Rays (ADIX) II

12 April 2017 | Anaheim, CA, United States

Optics and Photonics for Information Processing X

29 August 2016 | San Diego, California, United States

Anomaly Detection and Imaging with X-Rays (ADIX)

19 April 2016 | Baltimore, MD, United States

Optics and Photonics for Information Processing IX

10 August 2015 | San Diego, California, United States

Optics and Photonics for Information Processing VIII

18 August 2014 | San Diego, California, United States

Optics and Photonics for Information Processing VII

28 August 2013 | San Diego, California, United States

Optics and Photonics for Information Processing VI

15 August 2012 | San Diego, California, United States

Visual Information Processing XXI

24 April 2012 | Baltimore, Maryland, United States

Adaptive Coded Aperture Imaging and Non-Imaging Sensors V

25 August 2011 | San Diego, California, United States

Optics and Photonics for Information Processing V

24 August 2011 | San Diego, California, United States

Visual Information Processing XX

26 April 2011 | Orlando, Florida, United States

Adaptive Coded Aperture Imaging and Non-Imaging Sensors IV

2 August 2010 | San Diego, California, United States

Visual Information Processing XIX

6 April 2010 | Orlando, Florida, United States

Adaptive Coded Aperture Imaging and Non-Imaging Sensors III

2 August 2009 | San Diego, California, United States

Visual Information Processing XVIII

14 April 2009 | Orlando, Florida, United States

Adaptive Coded Aperture Imaging and Non-Imaging Sensors II

10 August 2008 | San Diego, California, United States

Visual Information Processing XVII

18 March 2008 | Orlando, Florida, United States

Adaptive Coded Aperture Imaging and Non-Imaging Sensors

30 August 2007 | San Diego, California, United States

Visual Information Processing XVI

10 April 2007 | Orlando, Florida, United States

Visual Information Processing XV

18 April 2006 | Orlando (Kissimmee), Florida, United States

Showing 5 of 27 Conference Committees

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