Required course: No
Course Level
Graduate
Course Description
This course is designed to provide students with theoretical knowledge and practical experience to analyze and design digital image processing systems. The first part of this course covers two-dimensional signals and systems. Extension of key digital signal processing concepts (such as sampling, z-transforms, discrete Fourier transforms, and filtering) to two-dimensions are studied. During the second part of the course, properties of the human visual system are summarized and image enhancement, restoration, and compression methods are discussed. Course requirements include a project. Project ideas are developed in consultation with the instructor.
Enrollment Requirements
ECE 529; concurrent registration in ECE 503
Course Texts
- R. C. Gonzales and R. E. Woods, Digital Image Processing, 4th Ed., Pearson, 2018. (optional)
- John Woods, Multidimensional Signal, Image, and Video Processing and Coding, 2nd Ed., Elsevier, 2012. (optional)
Schedule
150 minutes lecture per week
Assessment
- Homework: 6-8 assignments
- Project: 1 project
- Exams: 1 midterm exam, 1 final exam
- Typical grading policy: 20% midterm, 20% final exam, 30% homework, 30% project
Course Units
3
Core Designation
Typically Offered
Spring (alternate years)
Available Online