University of Wisconsin Madison
Image Processing (E C E 533) Syllabus
Course Learning Outcomes
    Course Learning Outcome
  • 1
    Students will be able to Input a photograph, ultrasound, or other image into Matlab or Mathematica and to process that image in order to achieve a desired engineering goal such as denoising, deblurring, edge detection, corner locating, etc.
  • 2
    Students learn how the various algorithms work and how they can be combined.
Details
Image Processing
E C E 533 ( 3 Credits )
Description
Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.
Prerequisite(s)
ECE 330 or cons inst; Math 320 or 340 or equiv
Department: ELECTRICAL AND COMPUTER ENGR
College: College of Engineering
Instructor
Instructor Name
Instructor Campus Address
instructorEmail@emailaddress.edu
Contact Hours
2.5
Course Coordinator
WILLIAM SETHARES
Text book, title, author, and year
Digital Image Processing; Gonzalez & Wood; 3rd; 2008
Supplemental Materials
None
Required / Elective / Selected Elective
Selected Elective
ABET Program Outcomes Associated with this Course
Program Specific Student Outcomes
 
Brief List of Topics to be Covered
 

1. 2-D signals, systems, sampling and filtering

2. fundamentals of image formation, human visual systems

3. Digital image enhancement, spatial domain, frequency domain

4. Digital image restoration, inverse, least squares, Wiener filters, constrained least square filters

5. Nonlinear 2D filtering: morphological operations

6. Registration techniques, keypoints and features, super-resolution

Additional Information
 
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