ECE 533 Digital Image Processing

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ECE 533 Digital Image Processing
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Outline

• Course homepage
• http//www.cae.wisc.edu/ece533/
• Course descriptions
• Outlines
• Course conduct

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Course Description

• Goals
• Understand 2D signal processing theory
• Familiar with basic image processing techniques
  filtering, restoration, coding
• Exposure to some advanced topics segmentation,
  etc.

• Pre-requisites
• 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.

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Course Description

• Optional Discussion
• Used for teaching Matlab image processing box and
  perhaps other software
• Schedule will be announced separately
• Office hours
• M, 10-11AM
• W, 2-3 PM
• R, 10-noon

• 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.prenhall.com/gonzale
  swoods

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Course Description

• Computer Usage
• 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.

• Grading policy
• 15 Five to six homework assignments
• 40 Two Midterm examinations
• 30 Final Examination
• 15 Project

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Course Outline

• Tentative plan, will be updated from time to
  time.
• Exam Dates (firm)
• 9/29, R, 715-830 pm, midterm 1
• 11/3, R, 715-830 pm, midterm 2
• 12/22, R, 745-945 am, final exam.

• 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.

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Project

• Team project
• 2 person team work on a project.
• 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.

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Course conduct

• You must do the homework on your own!
• Copying others homework or exam papers is a
  serious offense of academic misconduct and will
  be pursued according to university rules
• http//www.wisc.edu/students/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.

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Course Plan

• Introduction
• Motivation,
• Review of mathematics and theories
• Human visual system
• Vision
• Color
• Image enhancement
• Point based
• Filtering
• transformation

• Image restoration
• Degradation model
• Inverse filtering
• Constrained optimization
• Image coding
• Transform coding
• Video coding
• Image analysis
• Segmentation
• representation