Dr. Douglas R. Droege Profile

Dr. Douglas R. Droege

Sr. Director Technology at L3Harris Integrated Mission Systems

SPIE Involvement:

Symposium Chair | Author

SPIE Journal Paper | 22 August 2019 Open Access

Fusion of interpolated frames superresolution in the presence of atmospheric optical turbulence

Russell Hardie, Michael Rucci, Barry Karch, Alexander Dapore, Douglas Droege, Joseph French

OE, Vol. 58, Issue 08, 083103, (August 2019) https://doi.org/10.1117/12.10.1117/1.OE.58.8.083103

KEYWORDS: Turbulence, Optical transfer functions, Atmospheric optics, Optical turbulence, Super resolution, Image fusion, Cameras, Sensors, Image registration, Optical engineering

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Proceedings Article | 11 May 2018 Presentation + Paper

Super-resolution in the presence of atmospheric optical turbulence

Russell Hardie, Michael Rucci, Barry Karch, Alex Dapore, Douglas Droege

Proceedings Volume 10650, 106500H (2018) https://doi.org/10.1117/12.2303657

KEYWORDS: Turbulence, Optical transfer functions, Point spread functions, Atmospheric optics, Optical turbulence, Atmospheric modeling, Imaging systems, Filtering (signal processing), Image restoration

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SPIE Journal Paper | 6 February 2017 Open Access

Simulation of anisoplanatic imaging through optical turbulence using numerical wave propagation with new validation analysis

Russell Hardie, Jonathan Power, Daniel LeMaster, Douglas Droege, Szymon Gladysz, Santasri Bose-Pillai

OE, Vol. 56, Issue 07, 071502, (February 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.7.071502

KEYWORDS: Point spread functions, Cameras, Optical turbulence, Computer simulations, Wave propagation, Device simulation, Optical imaging, Turbulence, Statistical analysis, Optical engineering

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We present a numerical wave propagation method for simulating imaging of an extended scene under anisoplanatic conditions. While isoplanatic simulation is relatively common, few tools are specifically designed for simulating the imaging of extended scenes under anisoplanatic conditions. We provide a complete description of the proposed simulation tool, including the wave propagation method used. Our approach computes an array of point spread functions (PSFs) for a two-dimensional grid on the object plane. The PSFs are then used in a spatially varying weighted sum operation, with an ideal image, to produce a simulated image with realistic optical turbulence degradation. The degradation includes spatially varying warping and blurring. To produce the PSF array, we generate a series of extended phase screens. Simulated point sources are numerically propagated from an array of positions on the object plane, through the phase screens, and ultimately to the focal plane of the simulated camera. Note that the optical path for each PSF will be different, and thus, pass through a different portion of the extended phase screens. These different paths give rise to a spatially varying PSF to produce anisoplanatic effects. We use a method for defining the individual phase screen statistics that we have not seen used in previous anisoplanatic simulations. We also present a validation analysis. In particular, we compare simulated outputs with the theoretical anisoplanatic tilt correlation and a derived differential tilt variance statistic. This is in addition to comparing the long- and short-exposure PSFs and isoplanatic angle. We believe this analysis represents the most thorough validation of an anisoplanatic simulation to date. The current work is also unique that we simulate and validate both constant and varying Cn2(z) profiles. Furthermore, we simulate sequences with both temporally independent and temporally correlated turbulence effects. Temporal correlation is introduced by generating even larger extended phase screens and translating this block of screens in front of the propagation area. Our validation analysis shows an excellent match between the simulation statistics and the theoretical predictions. Thus, we think this tool can be used effectively to study optical anisoplanatic turbulence and to aid in the development of image restoration methods.

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Proceedings Article | 18 May 2012 Paper

A real-time atmospheric turbulence mitigation and super-resolution solution for infrared imaging systems

Douglas Droege, Russell Hardie, Brian Allen, Alexander Dapore, Jon Blevins

Proceedings Volume 8355, 83550R (2012) https://doi.org/10.1117/12.920323

KEYWORDS: Sensors, Turbulence, Imaging systems, Atmospheric turbulence, Image processing, Atmospheric optics, Modulation transfer functions, Mid-IR, Super resolution, Motion models

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Proceedings Article | 14 May 2007 Paper

Scene-based nonuniformity correction using texture-based adaptive filtering

Douglas Droege

Proceedings Volume 6542, 65423R (2007) https://doi.org/10.1117/12.718739

KEYWORDS: Sensors, Nonuniformity corrections, Black bodies, Staring arrays, Neural networks, Infrared sensors, Infrared imaging, Calibration, Infrared radiation, Digital filtering

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Proceedings Article | 2 May 2006 Paper

Electronic image stabilization based on the spatial intensity gradient

Douglas Droege

Proceedings Volume 6238, 62380D (2006) https://doi.org/10.1117/12.663671

KEYWORDS: Motion estimation, Video, Image registration, Linear filtering, Imaging systems, Motion models, Mirrors, Infrared radiation, Image filtering, Nonlinear filtering

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Proceedings Article | 28 March 2005 Paper

Objective evaluation of IR image enhancement algorithms

D. Wade, D. Droege, S. Gaulding, M. Greiner

Proceedings Volume 5782, (2005) https://doi.org/10.1117/12.603779

KEYWORDS: Image enhancement, Image processing, Algorithm development, Video processing, Color and brightness control algorithms, Infrared imaging, Detection and tracking algorithms, Electronics, Imaging systems, Video

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Proceedings Article | 11 August 2004 Paper

Computationally efficient contrast enhancement algorithm suitable for real-time digital hardware

Douglas Droege, John Forsthoefel, Russell Hardie

Proceedings Volume 5424, (2004) https://doi.org/10.1117/12.562763

KEYWORDS: Video, Image processing, Video processing, Infrared radiation, Infrared imaging, Associative arrays, Visualization, Electronics, Eye, Detection and tracking algorithms

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Showing 5 of 8 publications

Conference Committee Involvement (3)

SPIE Defense + Commercial Sensing

21 April 2024 | National Harbor, United States

SPIE Defense + Commercial Sensing

30 April 2023 | Orlando, United States

SPIE Defense + Commercial Sensing

3 April 2022 | Orlando, United States

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