ECE 533
Digital Image Processing
Outline
• Course homepage:
– http://www.cae.wisc.edu/~ece533/
• Course descriptions
• Outlines
• Course conduct
(c) 2002-2004 by Yu Hen Hu
Course Description
• Pre-requisites
• Goals:
– Understand 2D signal
processing theory
– Familiar with basic image
processing techniques:
filtering, restoration,
coding
– Exposure to some
advanced topics:
segmentation, etc.
– linear signals and
systems,
– 1-D Fourier Transform,
– basic linear algebra,
– basic probability theory
and
– basic programming
techniques.
– Knowledge of ECE431
Digital Signal Processing
is desirable.
(c) 2002-2004 by Yu Hen Hu
Course Description
• Optional Discussion
– Used for teaching Matlab
image processing box
and perhaps other
software
– Schedule will be
announced separately
• Office hours
– TBA
• Textbook:
– Digital Image Processing
R. C. Gonzalez and R. E.
Woods Addison-Wesley
Pub. Co., New York, (2nd
edition) 2002
– Text book website:
http://www.imageprocessi
ngbook.com/
(c) 2002-2004 by Yu Hen Hu
Course Description
• Computer Usage:
• Grading policy:
– Mainly using Matlab with
image processing
toolbox.
– Project may require use
of scanner or digital
camera. If so, instruction
of proper usage will be
provided.
– 15 % Five to six
homework assignments
– 40 % Two Midterm
examinations
– 30 % Final Examination
– 15 % Project
(c) 2002-2004 by Yu Hen Hu
Course Outline
• Tentative plan, will be
updated from time to
time.
• Exam Dates (firm):
– 9/30, R, in-class, midterm
#1
– 10/28, R, in-class,
midterm #2
– 12/17, F, 2:45-4:45 pm,
final exam.
– All in 1610 Engr. Hall
• Homeworks due in
class.
• Some homework
problems may require
posting on your own
web page. So each
student should prepare
a web page on his/her
CAE unix account.
(c) 2002-2004 by Yu Hen Hu
Project
• Team project:
– 2-person team work on a
project.
– 3-person or more in a
team would require
instructor approval
• A list of potential project
topics will be
suggested. Students
may also propose their
own project topics
subject to approval.
• A written project
proposal and report
must be submitted.
• Power-point project
presentation is also
required.
• Project is graded on:
– Difficulty/complexity
– Originality/creativity
– Completeness,
presentation, etc.
(c) 2002-2004 by Yu Hen Hu
Course conduct
• You must do the
homework on your own!
• Copying other’s
homework or exam
papers is a serious
offense of academic
misconduct and will be
pursued according to
university rules
– http://www.wisc.edu/stud
ents/conduct.htm
• If you have conflict with
exam hours, inform
your instructor at least
two weeks before the
exam to discuss
possible alternatives.
• Final examination date
and time can not be
changed unless direct
conflict with other finals.
(c) 2002-2004 by Yu Hen Hu
Course Plan
• Introduction
• Image restoration
– Motivation,
– Review of mathematics
and theories
• Human visual system
– Vision
– Color
• Image coding
– Transform coding
– Video coding
• Image enhancement
– Point based
– Filtering
– transformation
– Degradation model
– Inverse filtering
– Constrained optimization
• Image analysis
– Edge detection
– Segmentation
– representation
(c) 2002-2004 by Yu Hen Hu