Dr. Bradley L. Preece Profile

Dr. Bradley L. Preece

Research Associate at US Army CCDC C5ISR Ctr Night Vision & Electronic Sensors Directorate

SPIE Involvement:

Author

Publications (31)

Proceedings Article | 14 June 2023 Presentation + Paper

Decomposing measured noise cubes: SiTF, 3D noise, uniformity, and drift

David Haefner, Stephen Burks, Bradley Preece

Proceedings Volume 12533, 125330N (2023) https://doi.org/10.1117/12.2663351

KEYWORDS: Cameras, Temperature metrology, 3D modeling, Thermal imaging cameras, Nonuniformity corrections, Black bodies

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Proceedings Article | 14 May 2019 Paper

A data-constrained algorithm for the emulation of long-range turbulence-degraded video

Kevin Miller, Bradley Preece, Todd Du Bosq, Kevin Leonard

Proceedings Volume 11001, 110010J (2019) https://doi.org/10.1117/12.2519069

KEYWORDS: Turbulence, Distortion, Modulation transfer functions, Video, Atmospheric turbulence, Cameras, Image quality, Sensors, Computer simulations

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Proceedings Article | 23 May 2018 Presentation + Paper

A target detection multi-layer matched filter for color and hyperspectral cameras

Tomoya Miyanishi, Bradley Preece, Joseph Reynolds

Proceedings Volume 10625, 1062510 (2018) https://doi.org/10.1117/12.2306344

KEYWORDS: Optical filters, Electronic filtering, Target detection, Image filtering, Cameras, 3D acquisition, Signal detection, Color difference, RGB color model, Signal to noise ratio

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Proceedings Article | 15 May 2018 Presentation

Measuring a detection sensitivity metric for non-shift invariant computational imaging systems (Conference Presentation)

Bradley Preece, David Haefner, George Nehmetallah

Proceedings Volume 10669, 106690V (2018) https://doi.org/10.1117/12.2307829

KEYWORDS: Imaging systems, Computational imaging, Computing systems, Systems modeling, Modulation transfer functions, Signal to noise ratio, Detection and tracking algorithms, Performance modeling, Optical filters, Linear filtering

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SPIE Journal Paper | 27 February 2018

On use of image quality metrics for perceptual blur modeling: image/video compression case

Jae Cha, Jeffrey Olson, Bradley Preece, Richard Espinola, A. Lynn Abbott

OE, Vol. 57, Issue 02, 023109, (February 2018) https://doi.org/10.1117/12.10.1117/1.OE.57.2.023109

KEYWORDS: Image compression, Image quality, Sensor performance, Image sensors, Electro optical modeling, Performance modeling, Sensors, Modulation transfer functions, Image processing, Point spread functions

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Proceedings Article | 5 May 2017 Presentation + Paper

Optimization of display viewing distance for human observers in the noise-limited case

Kimberly Kolb, Bradley Preece, Jeffrey Olson, Joseph Reynolds

Proceedings Volume 10197, 101970T (2017) https://doi.org/10.1117/12.2263322

KEYWORDS: Targeting Task Performance metric, Target acquisition, Night vision, Performance modeling, Visual process modeling, Computer simulations, Visual system, Sensors, Integrated modeling, Data modeling, Target detection, Modulation transfer functions, Signal to noise ratio, Eye, Visualization

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Proceedings Article | 3 May 2017 Presentation + Paper

A computational imaging target specific detectivity metric

Bradley Preece, George Nehmetallah

Proceedings Volume 10178, 101780M (2017) https://doi.org/10.1117/12.2263585

KEYWORDS: Hyperspectral target detection, Signal detection, Electronic filtering, Signal to noise ratio, Computational imaging, Target detection, Imaging systems, Systems modeling, Cameras, Mathematical modeling, Performance modeling

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Proceedings Article | 3 May 2017 Paper

Frequency modulated continuous wave lidar performance model for target detection

Todd Du Bosq, Bradley Preece

Proceedings Volume 10178, 101780T (2017) https://doi.org/10.1117/12.2265712

KEYWORDS: LIDAR, Performance modeling, Modulation, Systems modeling, Target detection, Ranging, Information operations, Imaging systems, Continuous wave operation, Laser sources, Signal to noise ratio, Atmospheric modeling, Sensors, Laser scattering, Backscatter

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Proceedings Article | 3 May 2017 Presentation + Paper

Measuring reflective-band imaging systems for performance prediction

Andre Slonopas, Bradley Preece, David Haefner

Proceedings Volume 10178, 1017805 (2017) https://doi.org/10.1117/12.2260886

KEYWORDS: Reflectivity, Imaging systems, Modulation transfer functions, Systems modeling, Thermal modeling, Performance modeling, Visible radiation, Infrared imaging, Short wave infrared radiation, Infrared radiation, Organic light emitting diodes, Light emitting diodes, Diffraction, Spatial frequencies, Targeting Task Performance metric

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SPIE Journal Paper | 7 March 2017

Performance assessment of a compressive sensing single-pixel imaging system

Todd Du Bosq, Bradley Preece

OE, Vol. 56, Issue 04, 041313, (March 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.4.041313

KEYWORDS: Cameras, Reconstruction algorithms, Imaging systems, Performance modeling, Compressed sensing, Wavelets, Image quality, Sensors, Digital micromirror devices, Systems modeling

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Proceedings Article | 24 June 2016 Paper

A wavelet contrast metric for the targeting task performance metric

Bradley Preece, Eric Flug

Proceedings Volume 9820, 98200E (2016) https://doi.org/10.1117/12.2223855

KEYWORDS: Targeting Task Performance metric, Signal to noise ratio, Received signal strength, Targeting Task Performance metric, Wavelets, Target acquisition, Signal to noise ratio, Performance modeling, Eye, Image quality, Wavelet transforms, Imaging systems

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