Public profile
Research areas
Image and video modeling and compression. Image and video modeling and compression Data Science, Systems
Electrical and Computer Engineering
Professor, Electrical and Computer Engineering
Average rating
3.6
16 temporary mock ratings
Difficulty
3.4
course-linked average
Courses
3
in seeded sections
Image and video modeling and compression. Image and video modeling and compression Data Science, Systems
ELEC 445
This course covers theory and tools for representing and processing digital images and video. Topics include: multi-dimensional sampling, transforms, and filtering; human visual perception; visual scanning and display; tomographic reconstruction; image and video coding theory and standards; video streaming; and, image restoration. Cross-list: ELEC 545. Recommended Prerequisite(s): ELEC 431
ELEC 545
This course covers theory and tools for representing and processing digital images and video. Topics include: multi-dimensional sampling, transforms, and filtering; human visual perception; visual scanning and display; tomographic reconstruction; image and video coding theory and standards; video streaming; and, image restoration. Cross-list: ELEC 445. Recommended Prerequisite(s): Knowledge of the fundamentals of signals and systems and digital signal processing.
ELEC 590
Theoretical and experimental investigations under staff direction. Repeatable for Credit.