Dr. Sudhakar Prasad Profile

Dr. Sudhakar Prasad

Director Ctr Adv Studies at Univ of New Mexico

SPIE Involvement:

Author

Publications (26)

SPIE Journal Paper | 29 December 2022 Open Access

Three-dimensional tracking using a single-spot rotating point spread function created by a multiring spiral phase plate

Keith Bonin, Sudhakar Prasad, Will Caulkins, George Holzwarth, Stephen Baker, Pierre-Alexandre Vidi

JBO, Vol. 27, Issue 12, 126501, (December 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.12.126501

KEYWORDS: Spiral phase plates, 3D tracking, Point spread functions, Microscopes, Diffusion, Diffractive optical elements, Cameras, 3D image processing, Fluorescence intensity, Bessel beams

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Proceedings Article | 4 September 2015 Paper

Three-dimensional polarimetric imaging in a snapshot

Sudhakar Prasad, Zhixian Yu

Proceedings Volume 9617, 961704 (2015) https://doi.org/10.1117/12.2197867

KEYWORDS: Polarization, Point spread functions, Imaging systems, 3D image processing, Polarimetry, 3D acquisition, Wavefronts, Scanning probe microscopy, Sensors, 3D modeling

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Proceedings Article | 20 May 2011 Paper

Joint segmentation and reconstruction of hyperspectral images from a single snapshot

Qiang Zhang, Robert Plemmons, David Kittle, David Brady, Sudhakar Prasad

Proceedings Volume 8048, 804817 (2011) https://doi.org/10.1117/12.881777

KEYWORDS: Image segmentation, Hyperspectral imaging, Data storage, Reconstruction algorithms, Image processing algorithms and systems, Hyperspectral simulation, Compressed sensing, Imaging systems, Signal to noise ratio, Coded apertures

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Proceedings Article | 27 August 2010 Paper

Information theoretic characterizations of compressive-sensing-based space object identification

Sudhakar Prasad, Douglas Hope

Proceedings Volume 7800, 78000B (2010) https://doi.org/10.1117/12.860902

KEYWORDS: Information technology, Satellites, Statistical analysis, Spatial frequencies, Signal to noise ratio, Correlation function, Image segmentation, Information theory, Spectral models, Statistical modeling

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Proceedings Article | 15 April 2010 Paper

Hyperspectral image segmentation, deblurring, and spectral analysis for material identification

Fang Li, Michael Ng, Robert Plemmons, Sudhakar Prasad, Qiang Zhang

Proceedings Volume 7701, 770103 (2010) https://doi.org/10.1117/12.850121

KEYWORDS: Image segmentation, Hubble Space Telescope, Hyperspectral imaging, Spectral models, Data modeling, Fuzzy logic, Image processing algorithms and systems, Solar cells, Image restoration, Satellites

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Proceedings Article | 30 April 2009 Paper

A practical enhanced-resolution integrated optical-digital imaging camera (PERIODIC)

M. Mirotznik, S. Mathews, R. Plemmons, P. Pauca, T. Torgersen, R. Barnard, B. Gray, Q. Zhang, J. van der Gracht, P. Curt, M. Bodnar, S. Prasad

Proceedings Volume 7348, 734806 (2009) https://doi.org/10.1117/12.819484

KEYWORDS: Imaging systems, Cameras, Super resolution, Imaging arrays, High dynamic range imaging, Optical components, Image processing, Image resolution, CCD cameras, Charge-coupled devices

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Proceedings Article | 3 September 2008 Paper

Pupil phase encoding for multi-aperture imaging

V. Pauca, D. Chen, J. van der Gracht, R. Plemmons, S. Prasad, T. Torgersen

Proceedings Volume 7074, 70740D (2008) https://doi.org/10.1117/12.795985

KEYWORDS: Imaging systems, Point spread functions, Super resolution, Sensors, Image resolution, Cameras, Computer programming, Digital imaging, Inverse optics, Spatial resolution

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Proceedings Article | 26 August 2008 Paper

PSF uncertainty and image estimation errors

Sudhakar Prasad

Proceedings Volume 7094, 709407 (2008) https://doi.org/10.1117/12.799318

KEYWORDS: Point spread functions, Error analysis, Turbulence, Statistical analysis, Imaging systems, Correlation function, Image analysis, Atmospheric turbulence, Sensors, Wavefronts

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Proceedings Article | 26 September 2007 Paper

Digital and optical superresolution of low-resolution image sequences

S. Prasad

Proceedings Volume 6712, 67120E (2007) https://doi.org/10.1117/12.742908

KEYWORDS: Statistical analysis, Super resolution, Sensors, Error analysis, Image processing, Imaging systems, Optical transfer functions, Digital image processing, Image resolution, Diffraction

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Proceedings Article | 25 August 2006 Paper

High-resolution iris image reconstruction from low-resolution imagery

R. Barnard, V. Pauca, T. Torgersen, R. Plemmons, S. Prasad, J. van der Gracht, J. Nagy, J. Chung, G. Behrmann, S. Mathews, M. Mirotznik

Proceedings Volume 6313, 63130D (2006) https://doi.org/10.1117/12.681930

KEYWORDS: Cameras, Iris recognition, Image resolution, Sensors, Image registration, Image quality, Imaging systems, Prototyping, Charge-coupled devices, Point spread functions

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Proceedings Article | 23 August 2005 Paper

Optical preconditioning and digital image restoration

S. Prasad

Proceedings Volume 5896, 589609 (2005) https://doi.org/10.1117/12.620170

KEYWORDS: Imaging systems, Signal to noise ratio, Modulation transfer functions, Image quality, Personal protective equipment, Lawrencium, Monochromatic aberrations, Digital image processing, Image restoration, Sensors

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Proceedings Article | 26 October 2004 Paper

Pupil-phase optimization for extended-focus, aberration-corrected imaging systems

Sudhakar Prasad, V. Paul Pauca, Robert Plemmons, Todd Torgersen, Joseph van der Gracht

Proceedings Volume 5559, (2004) https://doi.org/10.1117/12.560235

KEYWORDS: Monochromatic aberrations, Point spread functions, Imaging systems, Image restoration, Personal protective equipment, Iris recognition, Modulation transfer functions, Image filtering, Signal to noise ratio, Image quality

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Proceedings Article | 26 October 2004 Paper

Computational imaging systems for iris recognition

Robert Plemmons, Michael Horvath, Emily Leonhardt, V. Pauca, Sudhakar Prasad, Stephen Robinson, Harsha Setty, Todd Torgersen, Joseph van der Gracht, Edward Dowski, Ramkumar Narayanswamy, Paulo Silveira

Proceedings Volume 5559, (2004) https://doi.org/10.1117/12.560186

KEYWORDS: Iris recognition, Imaging systems, Computing systems, Detection and tracking algorithms, Computational imaging, Image restoration, Image processing, Computer programming, Feature extraction, Cameras

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Proceedings Article | 15 July 2004 Paper

Iris recognition with enhanced depth-of-field image acquistion

Joseph van der Gracht, V. Pauca, Harsha Setty, Ramkumar Narayanswamy, Robert Plemmons, Sudhakar Prasad, Todd Torgersen

Proceedings Volume 5438, (2004) https://doi.org/10.1117/12.542151

KEYWORDS: Iris recognition, Detection and tracking algorithms, Imaging systems, Signal to noise ratio, Image restoration, Cameras, Aspheric lenses, Modulation transfer functions, Wavelets, Image filtering

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Proceedings Article | 24 December 2003 Paper

Integrated optical-digital approaches for enhancing image restoration and focus invariance

Victor Pauca, Robert Plemmons, Sudhakar Prasad, Todd Torgersen, Joseph van der Gracht

Proceedings Volume 5205, (2003) https://doi.org/10.1117/12.505309

KEYWORDS: Image restoration, Point spread functions, Modulation transfer functions, Imaging systems, Optical transfer functions, Interference (communication), Optical design, Integrated optics, Fourier transforms, Wavefronts

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Proceedings Article | 6 October 2003 Open Access

20 years of graduate optics education at the University of New Mexico

Marek Osiński, Kenneth Jungling, Mansoor Sheik-Bahae, Sudhakar Prasad, John McIver, Arthur Guenther

Proceedings Volume 9663, 966313 (2003) https://doi.org/10.1117/12.2207483

KEYWORDS: Physics, Quantum optics, Semiconductor lasers, Optical engineering, Photonics, Optics, Internships, Optics education, Laser applications, Charged particle optics

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Proceedings Article | 6 October 2003 Open Access

Curriculum, program, and infrastructure development for Bachelor of Science in Optical Science and Engineering

Marek Osiński, Sudhakar Prasad, Arthur Guenther, Anne Madsen, Christine McCormick

Proceedings Volume 9663, 96631T (2003) https://doi.org/10.1117/12.2207507

KEYWORDS: Photonics, Optical engineering, Optics, Engineering education, Optics manufacturing, Internships, Physics, Mathematics, Optics education, Astronomy

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Proceedings Article | 8 August 2003 Paper

Engineering the pupil phase to improve image quality

Sudhakar Prasad, Todd Torgersen, Victor Pauca, Robert Plemmons, Joseph van der Gracht

Proceedings Volume 5108, (2003) https://doi.org/10.1117/12.487572

KEYWORDS: Image restoration, Point spread functions, Image quality, Modulation transfer functions, Personal protective equipment, Imaging systems, Computer simulations, Signal to noise ratio, Computer programming, Monochromatic aberrations

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Proceedings Article | 21 February 2003 Paper

An information theoretic approach to optical interferometry

Douglas Hope, Sudhakar Prasad

Proceedings Volume 4838, (2003) https://doi.org/10.1117/12.459077

KEYWORDS: Visibility, Calibration, Interferometers, Stars, Deconvolution, Data modeling, Synthetic apertures, Atmospheric optics, Information theory, Optical interferometry

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Proceedings Article | 21 February 2003 Paper

Synthesis imaging with dispersive single mode fibers in an optical interferometer array

Carl Tuttle, Sudhakar Prasad

Proceedings Volume 4838, (2003) https://doi.org/10.1117/12.459689

KEYWORDS: Lithium, Interferometers, Stereolithography, Synthetic apertures, Single mode fibers, Optical arrays, Infrared telescopes, Integrated optics, Visibility, Dispersion

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The next generation of stellar interferometer arrays will develop methods for observing fainter sources with greater resolution and create synthesized images at optical and IR wavelengths like those obtained from radio telescope arrays. Techniques using single-mode (SM) fiber optics offer significant advantages for future ground and space-based interferometers. SM fibers and integrated optics components can be used for nearly lossless transport and combination of light beams in a stellar interferometer, avoiding the multiple lossy reflective surfaces that must be kept in precise alignment with conventional optics. Furthermore, SM fibers spatially filter light corrupted by atmospheric seeing fluctuations or optical aberrations, increasing the fringe visibility and potentially improving measurement accuracy for bright sources by an order of magnitude. Controlling the dispersion and polarization properties of SM fibers is possible, but the poor coupling efficiency to aberrated light is a major limitation. MC fibers consist of a symmetrical arrangement of SM fiber cores inside a common cladding. One MC fiber is placed at the focus of each telescope, where light couples into the fiber and propagates through the cores for a short distance. Each MC fiber is then drawn apart into individual single-core fibers, and the resulting SM fiber beams are interfered pair-wise with beams from other telescopes. MC fibers are predicted to have an improved coupling efficiency over standard SM fibers, and the MC fiber geometry is well suited for transporting and combining light beams with minimal losses in an interferometer array. Computer simulations of fiber-linked interferometer arrays were performed to evaluate the performance of MC and standard SM fibers with different conditions of atmospheric, photon and detector noise. The effects of waveguide and material dispersion over a broad band at visible wavelengths are also included. The simulations determine the fiber modes, calculate the light coupling, propagate light through the fibers, and measure the beam correlations. Photon and detector noise are added and noisy estimates of the fringe power and bispectrum are found for the interferometer baselines. Statistics are then calculated over large ensembles and the measurements are processed to reconstruct an image of the source object. MC fibers are found to have greatly improved coupling efficiency over conventional SM fibers to aberrated light, and the noise sensitivity of visibility measurements and images also improves under certain conditions. Simulated images are shown and attempts to make MC fibers are discussed.

Proceedings Article | 30 July 2002 Paper

Application of Shannon Information in image postprocessing

Douglas Hope, Sudhakar Prasad

Proceedings Volume 4736, (2002) https://doi.org/10.1117/12.477587

KEYWORDS: Microelectromechanical systems, Deconvolution, Image restoration, Signal to noise ratio, Spatial frequencies, Data processing, Imaging systems, Information theory, Point spread functions, Distance measurement

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Proceedings Article | 16 June 2000 Open Access

Multiple-option master's degree in optical science and engineering

Sudhakar Prasad, John McIver

Proceedings Volume 3831, (2000) https://doi.org/10.1117/12.388725

KEYWORDS: Optics, Optical engineering, Physics, Quantum optics, Internships, Photonics, Astronomical imaging, Laser optics, Astronomy, Defense and security

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Proceedings Article | 24 July 1998 Paper

Simulations of a multiple-core-fiber-based interferometer in the presence of noise

Carl Tuttle, Sudhakar Prasad

Proceedings Volume 3350, (1998) https://doi.org/10.1117/12.317096

KEYWORDS: Interferometers, Signal to noise ratio, Atmospheric propagation, Telescopes, Optical simulations, Fiber couplers, Turbulence, Beam splitters, Cladding, Computer simulations

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Proceedings Article | 14 June 1995 Paper

Coupling and sensitivity enhancement with multiple-core fibers in ground-based interferometry

Sudhakar Prasad

Proceedings Volume 2476, (1995) https://doi.org/10.1117/12.211843

KEYWORDS: Signal to noise ratio, Interferometers, Interferometry, Atmospheric propagation, Wavefronts, Photons, Fiber couplers, Speckle, Liquid crystals, Telescopes

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Proceedings Article | 9 June 1994 Paper

Sensitivity limits on an image-plane fiber interferometer at low-light levels

Sudhakar Prasad

Proceedings Volume 2200, (1994) https://doi.org/10.1117/12.177281

KEYWORDS: Telescopes, Interferometers, Wavefronts, Signal to noise ratio, Space telescopes, Image restoration, Single mode fibers, Sensors, Photodetectors, Point spread functions

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