Prof. Russell C. Hardie Profile

Prof. Russell C. Hardie

Professor at Univ of Dayton

SPIE Involvement:

Author

Area of Expertise:

Image Processing , Machine Learnng , Medical Image Processing , Image Restoration , Super-Resolution

Profile Summary

Russell C. Hardie is a full professor in the Department of Electrical
and Computer Engineering at the University of Dayton and holds a
joint appointment in the Department of Electro-Optics and Photonics.
He received the University of Dayton’s top university-wide teaching
award, the 2006 Alumni Award in teaching. He also received the
Rudolf Kingslake Medal and Prize from SPIE in 1998 for the work on
super-resolution. His research interests include a wide range of topics
in digital signal and image processing, medical image processing, and
machine learning.

Publications (47)

Proceedings Article | 3 October 2024 Presentation + Paper

Presentation + Paper

Left and right lung-specific method of segmentation in chest radiographs

John Marsh, Barath Narayanan Narayanan, Russell Hardie

Proceedings Volume 13138, 1313805 (2024) https://doi.org/10.1117/12.3027683

KEYWORDS: Lung, Image segmentation, Deep learning, Data modeling, Chest imaging, Databases, Medical imaging, Computer aided detection

Read Abstract +

Proceedings Article | 7 June 2024 Poster + Paper

Poster + Paper

Deep learning architecture: an application for skin lesion segmentation-based polar image transformations on dermoscopy images

Redha Ali, Almabrok Essa, Elmoatazbellah Ben Omar, Adel Alshamili, Fatmah Ali, Russell Hardie

Proceedings Volume 13040, 130400J (2024) https://doi.org/10.1117/12.3014731

KEYWORDS: Image segmentation, Skin, Education and training, Transformers, Deep learning, Data modeling, Performance modeling, Medical imaging, Skin cancer, RGB color model

Read Abstract +

SPIE Journal Paper | 10 September 2022 Open Access

Open Access

Modeling and simulation of multispectral imaging through anisoplanatic atmospheric optical turbulence

Russell Hardie, Michael Rucci, Santasri Bose-Pillai, Richard Van Hook, Barry Karch

OE, Vol. 61, Issue 09, 093102, (September 2022) https://doi.org/10.1117/12.10.1117/1.OE.61.9.093102

KEYWORDS: Atmospheric modeling, Point spread functions, Multispectral imaging, Turbulence, Modeling and simulation, Optical transfer functions, Atmospheric optics, Optical engineering, Wave propagation, Computer simulations

Read Abstract +

SPIE Journal Paper | 29 October 2021

Resampling and super-resolution of hexagonally sampled images using deep learning

Dylan Flaute, Russell Hardie, Hamed Elwarfalli

OE, Vol. 60, Issue 10, 103105, (October 2021) https://doi.org/10.1117/12.10.1117/1.OE.60.10.103105

KEYWORDS: RGB color model, Sensors, Optical transfer functions, Lawrencium, Super resolution, Data modeling, Image processing, Optical engineering, Cameras, Head

Read Abstract +

SPIE Journal Paper | 23 March 2021 Open Access

Open Access

Deep learning for anisoplanatic optical turbulence mitigation in long-range imaging

Matthew Hoffmire, Russell Hardie, Michael Rucci, Richard Van Hook, Barry Karch

OE, Vol. 60, Issue 03, 033103, (March 2021) https://doi.org/10.1117/12.10.1117/1.OE.60.3.033103

KEYWORDS: Turbulence, Computer simulations, Point spread functions, Optical turbulence, Optical transfer functions, Optical engineering, Image processing, Image registration, Image fusion, Convolutional neural networks

Read Abstract +

SPIE Journal Paper | 23 June 2020

Hybrid machine learning architecture for automated detection and grading of retinal images for diabetic retinopathy

Barath Narayanan Narayanan, Russell Hardie, Manawaduge Supun De Silva, Nathaniel Kueterman

JMI, Vol. 7, Issue 03, 034501, (June 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.3.034501

KEYWORDS: Machine learning, Principal component analysis, Detection and tracking algorithms, Feature extraction, Computing systems, Network architectures, Data modeling, Convolutional neural networks, Visual process modeling, Image processing

Read Abstract +

Proceedings Article | 24 April 2020 Paper

Paper

Patch-based Gaussian mixture model for scene motion detection in the presence of atmospheric optical turbulence

Richard Van Hook, Russell Hardie

Proceedings Volume 11394, 1139414 (2020) https://doi.org/10.1117/12.2558318

KEYWORDS: Turbulence, Atmospheric modeling, Atmospheric turbulence, Motion detection, Optical turbulence, Motion models

Read Abstract +

Proceedings Article | 2 March 2020 Paper

Paper

Two-stage deep learning architecture for pneumonia detection and its diagnosis in chest radiographs

Barath Narayanan Narayanan, Venkata Salini Priyamvada Davuluru, Russell Hardie

Proceedings Volume 11318, 113180G (2020) https://doi.org/10.1117/12.2547635

KEYWORDS: Lung, Chest imaging, Computer aided diagnosis and therapy, Computer aided design, Medical imaging, Convolutional neural networks, Machine learning

Read Abstract +

Proceedings Article | 6 September 2019 Paper

Paper

Performance analysis of machine learning and deep learning architectures for malaria detection on cell images

Barath Narayanan Narayanan, Redha Ali, Russell Hardie

Proceedings Volume 11139, 111390W (2019) https://doi.org/10.1117/12.2524681

KEYWORDS: Computer aided diagnosis and therapy, Image classification, Machine learning, Convolutional neural networks, Medical imaging

Read Abstract +

SPIE Journal Paper | 22 August 2019 Open Access

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

Read Abstract +

Proceedings Article | 11 May 2018 Presentation + Paper

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

Read Abstract +

SPIE Journal Paper | 19 February 2018 Open Access

Open Access

Performance analysis of a computer-aided detection system for lung nodules in CT at different slice thicknesses

Barath Narayanan Narayanan, Russell Craig Hardie, Temesguen Messay Kebede

JMI, Vol. 5, Issue 01, 014504, (February 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.014504

KEYWORDS: Lung, Computed tomography, Computer aided diagnosis and therapy, CAD systems, Computer aided design, Computing systems, Computer simulations, Sensors, Lung cancer

Read Abstract +

Proceedings Article | 1 May 2017 Paper

Paper

Comparing multiple turbulence restoration algorithms performance on noisy anisoplanatic imagery

Michael Rucci, Russell Hardie, Alexander Dapore

Proceedings Volume 10204, 1020409 (2017) https://doi.org/10.1117/12.2269133

KEYWORDS: Turbulence, Image restoration, Signal to noise ratio, Monte Carlo methods, Cameras, Speckle imaging, Image processing, Point spread functions, Data modeling, Imaging systems, Computer simulations

Read Abstract +

Proceedings Article | 1 May 2017 Presentation + Paper

Presentation + Paper

On the simulation and mitigation of anisoplanatic optical turbulence for long range imaging

Russell Hardie, Daniel LeMaster

Proceedings Volume 10204, 102040B (2017) https://doi.org/10.1117/12.2264064

KEYWORDS: Optical transfer functions, Cameras, Point spread functions, Turbulence, Optical turbulence, Range imaging, Statistical analysis, Filtering (signal processing), Image registration, Wave propagation, Computer simulations, Electronic filtering

Read Abstract +

SPIE Journal Paper | 6 February 2017 Open Access

Open Access

Block matching and Wiener filtering approach to optical turbulence mitigation and its application to simulated and real imagery with quantitative error analysis

Russell Hardie, Michael Rucci, Alexander Dapore, Barry Karch

OE, Vol. 56, Issue 07, 071503, (February 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.7.071503

KEYWORDS: Filtering (signal processing), Point spread functions, Image registration, Electronic filtering, Optical transfer functions, Turbulence, Optical filters, Optical turbulence, Image filtering, Optical engineering

Read Abstract +

SPIE Journal Paper | 6 February 2017 Open Access

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

Read Abstract +

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.

Proceedings Article | 18 May 2016 Paper

Paper

Differential tilt variance effects of turbulence in imagery: comparing simulation with theory

Daniel LeMaster, Russell Hardie, Szymon Gladysz, Matthew Howard, Michael Rucci, Matthew Trippel, Jonathan Power, Barry Karch

Proceedings Volume 9846, 984606 (2016) https://doi.org/10.1117/12.2223470

KEYWORDS: Monte Carlo methods, Turbulence, Imaging systems, Light emitting diodes, Wave propagation, Image processing, Device simulation, Point spread functions, Optical simulations, Error analysis

Read Abstract +

Proceedings Article | 12 March 2015 Paper

Paper

Anomaly detection of microstructural defects in continuous fiber reinforced composites

Stephen Bricker, J. Simmons, Craig Przybyla, Russell Hardie

Proceedings Volume 9401, 94010A (2015) https://doi.org/10.1117/12.2079679

KEYWORDS: Image segmentation, Data modeling, Composites, Fiber coatings, Feature extraction, Visualization, Expectation maximization algorithms, Ceramics, 3D modeling, Defect detection

Read Abstract +

Proceedings Article | 13 June 2014 Paper

Paper

Advancement and results in hostile fire indication using potassium line missile warning sensors

Joel Montgomery, Marjorie Montgomery, Russell Hardie

Proceedings Volume 9092, 909204 (2014) https://doi.org/10.1117/12.2053343

KEYWORDS: Sensors, Missiles, Algorithm development, Firearms, Potassium, Weapons, Detection and tracking algorithms, Visible radiation, Explosives, Infrared sensors

Read Abstract +

Proceedings Article | 18 May 2012 Paper

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

Read Abstract +

SPIE Journal Paper | 1 September 2009

Anomaly detection in hyperspectral imagery: comparison of methods using diurnal and seasonal data

Patrick Hytla, Russell Hardie, Michael Eismann, Joseph Meola

JARS, Vol. 3, Issue 01, 033546, (September 2009) https://doi.org/10.1117/12.10.1117/1.3236689

KEYWORDS: Sensors, Target detection, Detection and tracking algorithms, Hyperspectral imaging, Contamination, Scanning electron microscopy, Expectation maximization algorithms, Statistical modeling, Image processing, Snow cover

Read Abstract +

Proceedings Article | 7 May 2007 Paper

Paper

Analysis of hyperspectral change detection as affected by vegetation and illumination variations

Joseph Meola, Michael Eismann, Kenneth Barnard, Russell Hardie

Proceedings Volume 6565, 65651S (2007) https://doi.org/10.1117/12.716324

KEYWORDS: Vegetation, Image segmentation, Detection and tracking algorithms, Calibration, Signal to noise ratio, Target detection, Cameras, Error analysis, Sun, Integrating spheres

Read Abstract +

Proceedings Article | 7 May 2007 Paper

Paper

Anomaly detection in hyperspectral imagery: a comparison of methods using seasonal data

Patrick Hytla, Russell Hardie, Michael Eismann, Joseph Meola

Proceedings Volume 6565, 656506 (2007) https://doi.org/10.1117/12.718381

KEYWORDS: Sensors, Target detection, Hyperspectral imaging, Detection and tracking algorithms, Signal to noise ratio, Calibration, Statistical analysis, Staring arrays, Cameras, Spectral calibration

Read Abstract +

SPIE Journal Paper | 1 October 2005

Partition-based interpolation for color filter array demosaicking and super-resolution reconstruction

Min Shao, Kenneth Barner, Russell Hardie

OE, Vol. 44, Issue 10, 107003, (October 2005) https://doi.org/10.1117/12.10.1117/1.2087428

KEYWORDS: Lawrencium, Optical filters, Super resolution, Reconstruction algorithms, Color difference, Image processing, Optical engineering, Image resolution, Image registration, Image interpolation

Read Abstract +

Proceedings Article | 2 November 2004 Paper

Paper

An algebraic restoration method for estimating fixed-pattern noise in infrared imagery from a video sequence

Unal Sakoglu, Russell Hardie, Majeed Hayat, Bradley Ratliff, J. Scott Tyo

Proceedings Volume 5558, (2004) https://doi.org/10.1117/12.557902

KEYWORDS: Calibration, Sensors, Video, Cameras, Infrared imaging, Infrared radiation, Motion models, Nonuniformity corrections, Staring arrays, Matrices

Read Abstract +

Proceedings Article | 15 October 2004 Paper

Paper

Hyperspectral resolution enhancement with an arbitrary point spread function

Michael Eismann, Russell Hardie

Proceedings Volume 5546, (2004) https://doi.org/10.1117/12.553237

KEYWORDS: Image resolution, Point spread functions, Hyperspectral imaging, Spatial resolution, Image enhancement, Sensors, Resolution enhancement technologies, Multispectral imaging, Spectral resolution, Statistical analysis

Read Abstract +

Proceedings Article | 11 August 2004 Paper

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

Read Abstract +

Proceedings Article | 7 January 2004 Paper

Paper

Initialization and convergence of the stochastic mixing model

Michael Eismann, Russell Hardie

Proceedings Volume 5159, (2004) https://doi.org/10.1117/12.499680

KEYWORDS: Data modeling, Stochastic processes, Hyperspectral imaging, Electro optical modeling, Expectation maximization algorithms, Matrices, Neon, Reflectivity, Algorithm development, Statistical analysis

Read Abstract +

SPIE Journal Paper | 1 October 2002

Restoration of broadband imagery steered with a liquid-crystal optical phased array

Jeffrey Weinschenk, Russell Hardie, Scott Harris

OE, Vol. 41, Issue 10, (October 2002) https://doi.org/10.1117/12.10.1117/1.1506370

KEYWORDS: Image restoration, Point spread functions, Liquid crystals, Diffraction gratings, Signal to noise ratio, Imaging systems, Phased array optics, Reflectivity, Filtering (signal processing), Convolution

Proceedings Article | 10 October 2001 Paper

Paper

Broadband image steering using a liquid crystal device

Jeffrey Weinschenk, Russell Hardie, Kenneth Barnard, Scott Harris, Paul McManamon, Edward Watson

Proceedings Volume 4369, (2001) https://doi.org/10.1117/12.445285

KEYWORDS: Image restoration, Liquid crystals, Molecules, Filtering (signal processing), Prisms, Electrodes, Convolution, Diffraction, Deconvolution, LCDs

Read Abstract +

Proceedings Article | 10 September 2001 Paper

Paper

Algebraic scene-based nonuniformity correction in focal plane arrays

Bradley Ratliff, Majeed Hayat, Russell Hardie

Proceedings Volume 4372, (2001) https://doi.org/10.1117/12.439146

KEYWORDS: Infrared imaging, Infrared radiation, Sensors, Algorithm development, Detection and tracking algorithms, Staring arrays, Nonuniformity corrections, Error analysis, Imaging systems, Tolerancing

Read Abstract +

Proceedings Article | 18 October 1999 Paper

Paper

Nonuniformity correction for improved registration and high-resolution image reconstruction in IR imagery

Ernest Armstrong, Majeed Hayat, Russell Hardie, Sergio Torres, Brian Yasuda

Proceedings Volume 3808, (1999) https://doi.org/10.1117/12.365831

KEYWORDS: Nonuniformity corrections, Image registration, Image restoration, Sensors, Reconstruction algorithms, Staring arrays, Infrared imaging, Forward looking infrared, Motion estimation, Image processing

Read Abstract +

SPIE Journal Paper | 1 May 1999

High-resolution image reconstruction from digital video by exploitation of nonglobal motion

Timothy Tuinstra, Russell Hardie

OE, Vol. 38, Issue 05, (May 1999) https://doi.org/10.1117/12.10.1117/1.602045

KEYWORDS: Optical flow, Image segmentation, Image restoration, Image processing algorithms and systems, Reconstruction algorithms, Imaging systems, Motion models, Infrared imaging, Sensors, Image registration

Proceedings Article | 8 February 1999 Paper

Paper

Advanced electronic phase stepped interferometry (EPSI) for detection and characterization of early-stage damage in aerospace materials

James Blackshire, Russell Hardie, M. Younus

Proceedings Volume 3585, (1999) https://doi.org/10.1117/12.339841

KEYWORDS: Interferometry, Phase interferometry, Algorithm development, Nondestructive evaluation, Computer simulations, Wave plates, Aerospace engineering, Phase shift keying, Aluminum, Polishing

Read Abstract +

Proceedings Article | 6 July 1998 Paper

Paper

High-resolution image reconstruction of digital video with nonglobal rigid body motion

Timothy Tuinstra, Russell Hardie

Proceedings Volume 3387, (1998) https://doi.org/10.1117/12.316418

KEYWORDS: Optical flow, Image segmentation, Image resolution, Video, Image restoration, Reconstruction algorithms, Imaging systems, Image registration, Motion models, Cameras

Read Abstract +

SPIE Journal Paper | 1 March 1998

Spectral band selection and classifier design for a multispectral imaging laser radar

Russell Hardie, Mohan Vaidyanathan, Paul McManamon

OE, Vol. 37, Issue 03, (March 1998) https://doi.org/10.1117/12.10.1117/1.601907

KEYWORDS: Speckle, LIDAR, Sensors, Interference (communication), Reflectivity, Statistical analysis, Atmospheric modeling, Receivers, Multispectral imaging, Optical engineering

SPIE Journal Paper | 1 January 1998

High-resolution image reconstruction from a sequence of rotated and translated frames and its application to an infrared imaging system

Russell Hardie, Kenneth Barnard, John Bognar, Ernest Armstrong, Edward Watson

OE, Vol. 37, Issue 01, (January 1998) https://doi.org/10.1117/12.10.1117/1.601623

KEYWORDS: Point spread functions, Image restoration, Imaging systems, Sensors, Reconstruction algorithms, Image registration, Forward looking infrared, Infrared imaging, Image analysis, Optical engineering

Proceedings Article | 6 August 1997 Paper

Paper

Multispectral laser radar development and target characterization

Mohan Vaidyanathan, Timothy Grayson, Russell Hardie, Lawrence Myers, Paul McManamon

Proceedings Volume 3065, (1997) https://doi.org/10.1117/12.281017

KEYWORDS: Sensors, LIDAR, Reflectivity, Optical parametric oscillators, Bidirectional reflectance transmission function, Target detection, Crystals, Speckle, Signal to noise ratio, Receivers

Read Abstract +

Proceedings Article | 16 June 1997 Paper

Paper

High-resolution image reconstruction from a sequence of rotated and translated infrared images

Russell Hardie, Stephen Cain, Kenneth Barnard, John Bognar, Ernest Armstrong, Edward Watson

Proceedings Volume 3063, (1997) https://doi.org/10.1117/12.276061

KEYWORDS: Image resolution, Infrared imaging, Imaging systems, Image restoration, Infrared radiation, Reconstruction algorithms, Sensors, Image registration, Image analysis, Point spread functions

Read Abstract +

Proceedings Article | 16 June 1997 Paper

Paper

High-resolution infrared image reconstruction using multiple randomly shifted low-resolution aliased frames

Mohammad Alam, John Bognar, Russell Hardie, Brian Yasuda

Proceedings Volume 3063, (1997) https://doi.org/10.1117/12.276089

KEYWORDS: Image resolution, Sensors, Imaging systems, Detector arrays, Filtering (signal processing), Image filtering, Image registration, Image restoration, Electronic filtering, Detection and tracking algorithms

Read Abstract +

Proceedings Article | 7 June 1996 Paper

Paper

High-resolution infrared image reconstruction using multiple low-resolution aliased frames

Eric Kaltenbacher, Russell Hardie

Proceedings Volume 2751, (1996) https://doi.org/10.1117/12.242018

KEYWORDS: Image resolution, Reconstruction algorithms, Image registration, Image quality, Infrared imaging, Image processing, Infrared radiation, Image restoration, Statistical analysis, Infrared detectors

Read Abstract +

SPIE Journal Paper | 1 November 1995

Aliasing reduction in staring infrared imagers utilizing subpixel techniques

Joseph Gillette, Thomas Stadtmiller, Russell Hardie

OE, Vol. 34, Issue 11, (November 1995) https://doi.org/10.1117/12.10.1117/12.213590

KEYWORDS: Sensors, Imaging systems, Detector arrays, Infrared imaging, Motion estimation, Reconstruction algorithms, Infrared radiation, Optical transfer functions, Image processing, Image quality

Read Abstract +

SPIE Journal Paper | 1 November 1995

Image restoration of dispersion-degraded images from a liquid-crystal beam steerer

Ronald Broessel, Vincent Dominic, Russell Hardie

OE, Vol. 34, Issue 11, (November 1995) https://doi.org/10.1117/12.10.1117/12.213519

KEYWORDS: Image filtering, Image restoration, Beam propagation method, Beam steering, Liquid crystals, Electronic filtering, Filtering (signal processing), Optical filters, Sensors, Modulation

Read Abstract +

Proceedings Article | 31 August 1993 Paper

Paper

Linear spectral filtering for feature enhancement in AVIRIS data from the forest ecosystem dynamics flightline in northern Maine

Russell Hardie, David Moss, Christopher Peterson

Proceedings Volume 1941, (1993) https://doi.org/10.1117/12.154697

KEYWORDS: Image filtering, Optical filters, Detection and tracking algorithms, Hyperspectral imaging, Linear filtering, Image enhancement, Ecosystems, Vegetation, Image processing, Image analysis

Read Abstract +

Proceedings Article | 1 April 1992 Paper

Paper

Application of nonlinear filters to edge detection

Charles Boncelet, Russell Hardie

Proceedings Volume 1658, (1992) https://doi.org/10.1117/12.58367

KEYWORDS: Digital filtering, Edge detection, Nonlinear filtering, Sensors, Linear filtering, Visualization, Image enhancement, Image filtering, Nonlinear image processing, Statistical analysis

Read Abstract +

Proceedings Article | 1 April 1991 Paper

Paper

LUM filters for smoothing and sharpening

Charles Boncelet, Russell Hardie, M. Hakami, Gonzalo Arce

Proceedings Volume 1451, (1991) https://doi.org/10.1117/12.44317

KEYWORDS: Digital filtering, Nonlinear filtering, Filtering (signal processing), Linear filtering, Image filtering, Electronic filtering, Smoothing, Statistical analysis, Nonlinear image processing, Signal to noise ratio

Read Abstract +

Proceedings Article | 1 July 1990 Paper

Paper

Ranking in Rp and its use in multivariate image estimation

Russell Hardie, Gonzalo Arce

Proceedings Volume 1247, (1990) https://doi.org/10.1117/12.19593

KEYWORDS: Statistical analysis, Distance measurement, Nonlinear image processing, Image analysis, Image filtering, Interference (communication), Digital filtering, Nonlinear filtering, Image processing, Algorithm development

Read Abstract +

Showing 5 of 47 publications

SIGN IN TO:

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Advertisement

Advertisement