Digital Image Processing
Multidimensional Signal, Image, and Video Processing and Coding, John Woods, ISBN: 0-12-088516-6, Elsevier.
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.
- 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