Computational Imaging

  • Course Type: Graduate Course
  • Semester Offered: Fall
Course Number: 
OPTI 556
Distance Course: 
Course Description: 
Computational imaging consists of joint design of measurement strategy and estimation algorithms for image formation from radiation fields. This course reviews principles of forward model and inversion algorithms for computational imaging and analyzes imaging systems for geometric, wave and statistical radiation field models. Forward models, consisting of discrete representations of continuous image and measurement spaces, are fundamental to computational imaging. The course reviews how to form and evaluate such models. Since convolutional neural networks are the most important tool in modern inverse models, their use and application in concert with linear and regularized regression is explored. Coded aperture and structured illumination systems are considered for X-ray imaging, phase retrieval, and decompressive estimation are discussed for wave fields and multiaperture and multiframe estimation strategies are discussed for statistical fields.
David Brady
Course Syllabus: 
Academic Integrity

According to the Arizona Code of Academic Integrity, “Integrity is expected of every student in all academic work. The guiding principle of academic integrity is that a student’s submitted work must be the student’s own.” Unless otherwise noted by the instructor, work for all assignments in this course must be conducted independently by each student. Co-authored work of any kind is unacceptable. Misappropriation of exams before or after they are given will be considered academics misconduct.

Misconduct of any kind will be prosecuted and may result in any or all of the following:

  • Reduction of grade
  • Failing grade
  • Referral to the Dean of Students for consideration of additional penalty, i.e., notation on a student’s transcript re: academic integrity violation, etc.
Students with Learning Disabilities

If a student is registered with the Disability Resource Center, he/she must submit appropriate documentation to the instructor if he/she is requesting reasonable accommodations.

The information contained in this syllabus may be subject to change with reasonable advance notice, as deemed appropriate by the instructor.