2-D signals, systems, sampling and filtering

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Course Syllabus

Office Hours: Before or after class and Wednesdays 11 am to noon at 6540 Morgridge Hall.

Instructional Materials: The Visual Vocabulary of Image Processing

Software: Mathematica (download from Dolt at https://software.wisc.edu/cgi-bin/ssl/csl.cgi) Please download the latest version (now 14).

Optional Textbooks:

Digital Image Processing: Gonzalez & Wood

Digital Image Processing, Jahne

Digital Image Processing, Burger & Burge

Course Description: Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.

b. Pre-requisites or Co-requisites: ECE 330 or cons inst; Math 320 or 340 or equiv

Course Goals: Students will be learn 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. Students learn how the various algorithms work and how they can be combined.

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