Dr. David J. Brady
Professor of Electrical and Computer Engineering at Duke Univ
SPIE Involvement:
Conference Program Committee | Author | Instructor | Startup Challenge Judge
Publications (84)

SPIE Journal Paper | 3 December 2019
OE Vol. 59 Issue 10
KEYWORDS: Spherical lenses, Holography, Holograms, Sensors, Digital holography, Image resolution, 3D image reconstruction, Optical engineering, Optical simulations, Optical resolution

Proceedings Article | 12 December 2018
Proc. SPIE. 10845, Three-Dimensional Image Acquisition and Display Technology and Applications
KEYWORDS: Cameras, Imaging systems, Lens design, Spherical lenses, Objectives, Panoramic photography, Optics manufacturing, Computer architecture, Optical arrays, Channel projecting optics

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

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

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

Showing 5 of 84 publications
Conference Committee Involvement (15)
Advanced Optical Imaging Technologies III
11 October 2020 | Beijing, China
Advanced Optical Imaging Technologies II
21 October 2019 | Hangzhou, China
Optical Data Science II
6 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
Showing 5 of 15 Conference Committees
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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