Dr. David J. Brady
Professor of Electrical and Computer Engineering at Duke Univ
SPIE Involvement:
Fellow status | Conference Program Committee | Author | Instructor
Publications (82)

PROCEEDINGS ARTICLE | February 23, 2018
Proc. SPIE. 10503, Quantitative Phase Imaging IV
KEYWORDS: Optical filters, Holograms, Holography, Digital holography, Denoising, Fourier transforms, Inverse problems, Wave propagation, Collimation, Reconstruction algorithms

PROCEEDINGS ARTICLE | May 12, 2016
Proc. SPIE. 9847, Anomaly Detection and Imaging with X-Rays (ADIX)
KEYWORDS: Fluctuations and noise, Modulation, Sensors, Calibration, X-rays, Tomography, Computed tomography, Coded apertures, Signal detection, Anisotropy

PROCEEDINGS ARTICLE | May 12, 2016
Proc. SPIE. 9847, Anomaly Detection and Imaging with X-Rays (ADIX)
KEYWORDS: Coherence imaging, Fluctuations and noise, Imaging systems, Sensors, X-rays, Collimators, Reconstruction algorithms, Coded apertures, X-ray imaging, X-ray detectors

PROCEEDINGS ARTICLE | May 12, 2016
Proc. SPIE. 9847, Anomaly Detection and Imaging with X-Rays (ADIX)
KEYWORDS: Coherence imaging, Image processing, X-rays, Image restoration, Reconstruction algorithms, Coded apertures, X-ray imaging, Optimization (mathematics), Coded aperture imaging, Expectation maximization algorithms

PROCEEDINGS ARTICLE | May 12, 2016
Proc. SPIE. 9847, Anomaly Detection and Imaging with X-Rays (ADIX)
KEYWORDS: Coherence imaging, Photon counting, Imaging systems, Sensors, Spectroscopy, X-rays, Image resolution, Imaging spectroscopy, X-ray imaging, X-ray detectors

PROCEEDINGS ARTICLE | May 12, 2016
Proc. SPIE. 9847, Anomaly Detection and Imaging with X-Rays (ADIX)
KEYWORDS: Fluctuations and noise, Imaging systems, Sensors, X-rays, Tomography, Optical simulations, Raster graphics, Coded apertures, X-ray imaging, X-ray detectors

Showing 5 of 82 publications
Conference Committee Involvement (13)
Optical Data Science II
2 February 2019 | San Francisco, California, United States
Advanced Optical Imaging Technologies
12 October 2018 | Beijing, China
Image Reconstruction from Incomplete Data VIII
11 August 2015 | San Diego, California, United States
Mobile Computational Photography
4 February 2013 | Burlingame, California, United States
Image Reconstruction from Incomplete Data VII
14 August 2012 | San Diego, California, United States
Showing 5 of 13 published special sections
Course Instructor
SC970: Computational Optical Imaging
Conventional optical design assumes that images are formed by optical processing and sampled by electronic focal planes. Computational design, in contrast, assumes that optical processing forms coded patterns that are decoded into images by digital processing. This course explains design principles and applications of computational optical imaging systems. The course covers four critical tools for computational imager design: (1) radiation field models, (2) discrete sampling models, (3) coding, regularization and inverse problems and (4) optical element design and applies these tools in analyzing example computational systems for spectral, 3D and wide field imaging.
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