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Mathematical Image Processing

Subject code


Course Number



K. Ott

Course Long Title

Mathematical Image Processing

Cross Listed Courses


Digital image processing is a field essential to many disciplines, including medicine, astronomy, astrophysics, photography, and graphics. It is also an active area of mathematical research with ideas stemming from numerical linear algebra, Fourier analysis, partial differential equations and statistics. This course introduces mathematical methods in digital image processing, including basic image processing tools and techniques with an emphasis on their mathematical foundations. Students implement the theory using MATLAB. Topics may include image compression, image enhancement, edge detection, and image filtering. Students conceive and complete projects, either theoretical or practical, on an aspect of digital image processing. Prerequisite(s): MATH 205.

Writing Credit

No writing credit

Departmental Course Attributes - Major/Minor Requirements

(DCS: Programming & Theory)

INDS Program Relationship

IDDC - DCA Program