University of Wisconsin - Madison
Department of Electrical and Computer Engineering
ECE/CS 738 Advanced Digital Image Processing
Spring 2007 Semester
- Instructors: Yu Hen Hu , 3625 Engr. Hall,
Tel.262-6724, E-mail: firstname.lastname@example.org
- Place and time: 9:55-10:45 AM, MWF, 3444 Engineering Hall
- Prerequisite: ECE 533 or consent of instructor.
- It is strongly suggested that students
successfully complete ECE533 before taking this
course. Special permission can be made to
advanced graduate students who can demonstrate in-depth
knowledge in basic image processing topics.
- Students are expected to be familiar with the
following concepts: Wiener filtering, constrained
least square restoration, linear predictive
coding, linear transform (DFT, DCT, DWT), context-based
entropy coding, clustering and optimal vector
quantization, 1D and 2D linear system thoery,
digtal filters, 2D convolution, human visual
system and visual psychophysics, image
segmentation, edge detection.
- Goals: To learn advanced topics in image
and video processing through paper reading, group
discussion, report writing and special project.
- Visual pattern recognition, shape recognition, with emphasis on
human face recognition
- Data hiding, secure multimedia communication, water marking
- Visual information communication, video streaming, scalable
video coding, error concealment, uneven error protection
- image/video analysis and content based retrieval:
image and video segmentation, content-based
information retrieval, natural and synthetic
image coding, image and video fetaure extraction
- Textbook: A set of papers will be
posted on password-protected web page. Reference books will be
assigned and placed in Wendt library on reserve.
- Computer Usage: Ability to program in Matlab and C is
expected. Experiences in manipulating, presenting, and playing image and
video files are desirable.
- Grading Policy:
- 10 % Paper presentation, paper summary, contribution to in-class
discussion and participation.
- 30 % Assigned short projects. Tentatively three.
- 20 % Final Examination
- 40 % Individual project