MATH 345 - Digital Image Processing

Description

Hours: Three hours lecture in the lab per week Prerequisite: Junior Standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4) 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.

Meeting Information

Status: Closed
Class Number: 1093
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 1/21/2023 - 5/19/2023
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 26
Available Seats: 0
Wait List Capacity: 25
Wait List Total: 0

Textbook / Other Materials

Enrollment Information

• Upper Division
• Includes any In Person Meeting
• Interdisciplinary Approaches Mission Pillar
• Upper Div - B Scientific Inq & Quantitative Reason