MATH 345 - Digital Image Processing

Class Number: 1157

Description: Hours: Three hours lecture in the lab per week Prerequisite: Successful completion of Golden Four GE Areas (1A, 1B, 1C, 2) Description: An introduction to the basic concepts and techniques for digital image restoration and enhancement, analysis, coding and compression. The emphasis is on processes which analyze primarily two-dimensional discrete images represented at the pixel level, including filtering, noise reduction and segmentation. Fourier analysis techniques will be explored. Programming exercises will be used to implement the various processes, and their performance on synthetic and real images will be studied.

Status: Open

Session: Regular Academic Session B

Units: 3.00

Class Components: Lecture

Career: Undergraduate

Start Date: 07/13/2026

End Date: 08/14/2026

Grading: Letter Grade

Enrollment Total: 26

Available Seats: 4

Wait List Capacity: 20

Wait List Total: 0