Dr. Stanley J. Reeves Profile

Dr. Stanley J. Reeves

Assistant Professor at Auburn Univ

SPIE Involvement:

Author

Publications (24)

Proceedings Article | 7 March 2014 Paper

Efficient volumetric estimation from plenoptic data

Paul Anglin, Stanley Reeves, Brian Thurow

Proceedings Volume 9020, 90200T (2014) https://doi.org/10.1117/12.2047257

KEYWORDS: Point spread functions, Deconvolution, Reconstruction algorithms, Cameras, Imaging systems, Sensors, Image processing, Microlens, Computer simulations, Tomography

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SPIE Journal Paper | 1 July 2011

Adaptive image acquisition by autodefocusing

Tao Ma, Stanley Reeves

JEI, Vol. 20, Issue 03, 033013, (July 2011) https://doi.org/10.1117/12.10.1117/1.3624489

KEYWORDS: Optical filters, Image filtering, Cameras, Filtering (signal processing), Image acquisition, Error analysis, Image quality, Digital imaging, Point spread functions, Digital cameras

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Proceedings Article | 8 February 2011 Paper

Accelerating sparse reconstruction for fast and precomputable system matrix inverses

Stanley Reeves

Proceedings Volume 7873, 78730V (2011) https://doi.org/10.1117/12.884583

KEYWORDS: Reconstruction algorithms, Transform theory, Compressed sensing, Computing systems, Matrices, Associative arrays, Optimization (mathematics), Complex systems, Video, Sensors

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Proceedings Article | 24 January 2011 Paper

Optimal image acquisition by auto-defocusing

Tao Ma, Stanley Reeves

Proceedings Volume 7876, 787605 (2011) https://doi.org/10.1117/12.872630

KEYWORDS: Optical filters, Cameras, Filtering (signal processing), Image acquisition, Error analysis, Image filtering, Interference (communication), Sensors, Digital cameras, Distortion

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Proceedings Article | 20 March 2008 Paper

A new approach for joint estimation of local magnitude, decay, and frequency from single-shot MRI

Weidong Tang, Stanley Reeves, Donald Twieg

Proceedings Volume 6814, 68140C (2008) https://doi.org/10.1117/12.774013

KEYWORDS: Magnetic resonance imaging, Reconstruction algorithms, Convolution, Statistical modeling, Spatial resolution, Data acquisition, Image resolution, Computer programming, Phase modulation, Fourier transforms

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Proceedings Article | 12 March 2008 Paper

Estimating MR relaxation in a single shot: considerations for estimation accuracy

Donald Twieg, Stanley Reeves

Proceedings Volume 6916, 69160W (2008) https://doi.org/10.1117/12.770505

KEYWORDS: Error analysis, Magnetic resonance imaging, Signal processing, Data acquisition, Functional magnetic resonance imaging, Computer programming, K band, Distortion, Data modeling, Interference (communication)

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Proceedings Article | 28 February 2007 Paper

Fast joint estimation of local magnitude, decay, and frequency from single-shot MRI

Weidong Tang, Stanley Reeves, Donald Twieg

Proceedings Volume 6498, 649818 (2007) https://doi.org/10.1117/12.704505

KEYWORDS: Magnetic resonance imaging, Image analysis, Reconstruction algorithms, Fourier transforms, Functional magnetic resonance imaging, Computer programming, Statistical modeling, Performance modeling, Image quality, Signal processing

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Proceedings Article | 2 February 2006 Paper

Bayesian image reconstruction from Fourier-domain samples using prior edge information: convergence and parameter sensitivity

Thomas Denney, Stanley Reeves

Proceedings Volume 6065, 60650E (2006) https://doi.org/10.1117/12.641706

KEYWORDS: Reconstruction algorithms, Image restoration, Signal to noise ratio, Optimization (mathematics), Image segmentation, Image analysis, Algorithm development, Magnetic resonance imaging, Image processing, Error analysis

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Proceedings Article | 2 February 2006 Paper

Estimation of color filter array data from JPEG images for improved demosaicking

Wei Feng, Stanley Reeves

Proceedings Volume 6065, 606510 (2006) https://doi.org/10.1117/12.657899

KEYWORDS: Image processing, Quantization, Image compression, Optical filters, Picosecond phenomena, Image quality, Data modeling, Image acquisition, Data analysis, Iterative methods

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SPIE Journal Paper | 1 October 2005

Bayesian image reconstruction from Fourier-domain samples using prior edge information

Thomas Denney, Stanley Reeves

JEI, Vol. 14, Issue 04, 043009, (October 2005) https://doi.org/10.1117/12.10.1117/1.2135747

KEYWORDS: Reconstruction algorithms, Image restoration, Signal to noise ratio, Magnetic resonance imaging, Image segmentation, Algorithm development, Image processing algorithms and systems, Tissues, Edge detection, Magnetism

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Proceedings Article | 11 March 2005 Paper

Bayesian edge-preserving color image reconstruction from color filter array data

Manu Parmar, Stanley Reeves, Thomas Denney

Proceedings Volume 5674, (2005) https://doi.org/10.1117/12.597627

KEYWORDS: Reconstruction algorithms, RGB color model, Optical filters, Optical sensors, Cameras, Independent component analysis, Statistical analysis, Edge detection, Image acquisition, Image quality

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Proceedings Article | 11 March 2005 Paper

Fast Huber-Markov edge-preserving image restoration

Ruimin Pan, Stanley Reeves

Proceedings Volume 5674, (2005) https://doi.org/10.1117/12.587823

KEYWORDS: Image restoration, Convolution, Statistical analysis, Image analysis, Stereolithography, Chemical elements, Video, Image processing, Matrices, Iterative methods

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Proceedings Article | 23 February 2005 Paper

Mosaic image compression

Kapil Chaudhari, Stanley Reeves

Proceedings Volume 5678, (2005) https://doi.org/10.1117/12.587186

KEYWORDS: Image compression, Image processing, Image restoration, Cameras, Digital cameras, Image quality standards, Optical filters, RGB color model, Digital imaging, Onboard cameras

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Proceedings Article | 21 May 2004 Paper

Color filter array design based on a human visual model

Manu Parmar, Stanley Reeves

Proceedings Volume 5299, (2004) https://doi.org/10.1117/12.538833

KEYWORDS: RGB color model, Optical filters, Sensors, Error analysis, Modulation transfer functions, Visual process modeling, Visualization, Cameras, Point spread functions, Image processing

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Proceedings Article | 20 August 2003 Paper

Fast restoration and superresolution with edge-preserving regularization

Ruimin Pan, Stanley Reeves

Proceedings Volume 5077, (2003) https://doi.org/10.1117/12.487300

KEYWORDS: Convolution, Super resolution, Image restoration, Passive millimeter wave sensors, Real time imaging, Video, Chemical elements, Stereolithography, Signal to noise ratio, Edge roughness

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Proceedings Article | 1 July 2003 Paper

MR spectroscopic image reconstruction using structural information from anatomical MR images

Thomas Denney, Stanley Reeves

Proceedings Volume 5016, (2003) https://doi.org/10.1117/12.479701

KEYWORDS: Magnetic resonance imaging, Data modeling, Imaging spectroscopy, Spectroscopy, Reconstruction algorithms, Image restoration, Signal to noise ratio, Data acquisition, Fourier transforms, Image resolution

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Proceedings Article | 29 July 2002 Paper

Fast restoration of PMMW imagery without boundary artifacts

Stanley Reeves

Proceedings Volume 4719, (2002) https://doi.org/10.1117/12.477469

KEYWORDS: Image restoration, Convolution, Passive millimeter wave sensors, Point spread functions, Barium, Real time imaging, Video, Imaging systems, Systems modeling, Signal to noise ratio

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SPIE Journal Paper | 1 October 2001

Optical dithering of focal plane arrays in passive millimeter-wave imaging

Yun Gao, Stanley Reeves

OE, Vol. 40, Issue 10, (October 2001) https://doi.org/10.1117/12.10.1117/1.1402622

KEYWORDS: Sensors, Passive millimeter wave sensors, Convolution, Matrices, Image sensors, Iron, Staring arrays, Optical engineering, Passive millimeter wave imaging, Raster graphics

Proceedings Article | 20 July 2000 Paper

Optimal dithering of focal plane arrays in passive millimeter-wave imaging

Yun Gao, Stanley Reeves

Proceedings Volume 4032, (2000) https://doi.org/10.1117/12.391828

KEYWORDS: Sensors, Passive millimeter wave sensors, Convolution, Matrices, Staring arrays, Algorithm development, Reconstruction algorithms, Passive millimeter wave imaging, Image sensors, Spatial resolution

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Proceedings Article | 27 June 1997 Paper

Analysis of the difficulties and possibilities for superresolution

Stanley Reeves

Proceedings Volume 3064, (1997) https://doi.org/10.1117/12.277086

KEYWORDS: Super resolution, Spatial frequencies, Signal to noise ratio, Point spread functions, Fourier transforms, Image processing, Image resolution, Passive millimeter wave sensors, Spatial resolution, Convolution

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Proceedings Article | 19 May 1992 Paper

Practical stopping rule for iterative image restoration

Stanley Reeves, Kevin Perry

Proceedings Volume 1657, (1992) https://doi.org/10.1117/12.58327

KEYWORDS: Image restoration, Image processing, Error analysis, Cameras, Image analysis, Optical filters, Iterative methods, Statistical analysis, Visualization, Ions

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Proceedings Article | 1 June 1991 Paper

Optimal regularization parameter estimation for image restoration

Stanley Reeves, Russell Mersereau

Proceedings Volume 1452, (1991) https://doi.org/10.1117/12.45377

KEYWORDS: Image restoration, Image processing, Error analysis, Image analysis, Statistical analysis, Cameras, Current controlled voltage source, Matrices, Electrical engineering, Computing systems

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Proceedings Article | 1 September 1990 Paper

Optimal constraint parameter estimation for constrained image restoration

Stanley Reeves, Russell Mersereau

Proceedings Volume 1360, (1990) https://doi.org/10.1117/12.24151

KEYWORDS: Image restoration, Prototyping, Image segmentation, Image processing, Visual communications, Image analysis, Data modeling, Distortion, Inverse problems, Image processing algorithms and systems

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SPIE Journal Paper | 1 May 1990

Optimal estimation of the regularization parameter and stabilizing functional for regularized image restoration

Stanley Reeves, Russell Mersereau

OE, Vol. 29, Issue 05, (May 1990) https://doi.org/10.1117/12.10.1117/12.55613

KEYWORDS: Image restoration, Error analysis, Cameras, Filtering (signal processing), Autoregressive models, Computing systems, Inverse problems, Signal to noise ratio, Current controlled voltage source, Distortion

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