Departments of Bioengineering and Electrical Engineering

University of Washington

BIOEN/EE 568

Spring Quarter, 2001

Course: BIOEN/EE568

Topic: Image Processing Computer Systems

Instructor: Yongmin Kim, Ph.D., Professor of Bioengineering and Electrical Engineering (ykim@u)

Prerequisites: 1) Basic Linear Systems,

2) Computer Programming,

3) Graduate Standing, and

4) Permission of Course Instructor

Credit: Four (4)

Time: Tuesdays and Thursdays, 4:00 – 5:50 p.m.

Location: EE1 045

Imaging technology has become pervasive in many facets of our lives: whether it is a simple security camera, highway traffic monitor, "Web Cam", or camcorder; whether it is a color image printed from an digital camera or a photograph scanned with a page scanner; whether it is an X-ray CT or MRI scanner, or a small ultrasound machine; whether it is a realistic portrayal of dinosaurs or sinking cruise ships at the movies; all feature image computing. Digital imaging technologies have advanced over the past four decades from early satellite-based mapping systems to today’s desktop supercomputers for the generation of special effects and digital high definition television (HDTV). The main objective of this course is to provide the students with understanding of major technical issues associated with digital image computing and its systems, which will continue to expand rapidly in the 21st century. The topics of this course will range from image acquisition, image processing algorithms, image display, image/video compression algorithms and standards, and advances in multimedia computing systems. Developing solutions to the unmet needs in an application requires an innovative and systems-oriented approach, which will be emphasized in this course. This is a 50% lecture and 50% laboratory and individual project-oriented graduate course. Student’s projects can vary from image processing & multimedia conceptual system design to development and testing of image processing algorithms for a specific application.

The topics include:

  1. Image acquisition/display principles and devices.
  2. Digital video standards and HDTV.
  3. Basic image processing operations.
  4. Linear systems, two-dimensional filtering.
  5. Mid-level image processing, quantitative image analysis.
  6. Image segmentation and visualization with applications to medical imaging.
  7. Compression algorithms & standards: JPEG, MPEG-1, MPEG-2, MPEG-4, MPEG-7.
  8. Examples of multimedia computing and biomedical imaging systems.