CS 432: Introduction to Image and Pattern Analysis

Instructor: Lance Williams <williams@cs.unm.edu>
Time: MWF 1:00 - 1:50 PM
Location: CE 103

Ever wondered how JPEG works? ...or morphing? ...or digital watermarking?

This course will provide an introduction to the fundamentals of digital image processing and pattern analysis. Specific topics include grey-level histograms, algebraic and geometric operations on images, linear system theory, fourier transforms, filter design, wavelets, image compression and pattern analysis.

Understanding of image processing theory will be reinforced by hands-on exercises and programming assignments using the Khoros image processing environment.

The text for the course will be Digital Image Processing by Ken Castleman.

This course may be taken for graduate credit. Prerequisites include undergraduate linear algebra, statistics, and a knowledge of C programming.

Course Syllabus

Programming Projects

Of Possible Interest