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COMPUTATIONAL OPTICS AND IMAGING

BMI/COMPSCI/ECE/MEDPHYS 722
Course Description

Computational imaging includes all imaging methods that produce images as a result of computation on collected signals. Learn the tools to design new computational imaging methods to solve specific imaging problems. Provides an understanding of the physics of light propagation and measurement, and the computational tools to model it, including wave propagation, ray tracing, the radon transform, and linear algebra using matrix and integral operators and the computational tools to reconstruct an image, including linear inverse problems, neural networks, convex optimization, and filtered back-projection. Covers a variety of example computational imaging techniques and their applications including coded apertures, structured illumination, digital holography, computed tomography, imaging through scattering media, compressed sensing, and non-line-of-sight imaging.

Prerequisties

Graduate/professional standing

Satisfies

This course does not satisfy any prerequisites.

Credits

3

Offered

Not Applicable

Grade Point Average
3.71

No change from Historical

Completion Rate
100%

No change from Historical

A Rate
57.14%

No change from Historical

Class Size
7

No change from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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