Noise in Imaging Systems

  • Course Type: Graduate Course
  • Semester Offered: Not Currently Offered
Course Number: 
OPTI 636
Units: 
3
Distance Course: 
No
Course Description: 
Development of mathematical tools for describing stochastic processes in single optical detectors and complex imaging systems; understanding the effect of image processing and reconstruction algorithms on image noise; development of a quantitative approach to assessing and optimizing image quality.
Prerequisite(s): 
OPTI 508 or good understanding of fundamentals of probability from other sources and OPTI 512R; suggested corequisite OPTI 637
Instructor(s): 
Matthew A. Kupinski
Contact: 
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.