COMP 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

Info current as 12/21/2024
Days Times Room Meeting Dates Instructor
TTH  3:00 PM  -  4:15 PM  Bell Tower 1704 1/21/2023 - 5/19/2023 Andrew Reynolds

Status: Closed
Class Number: 1095
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

Status: Required
ISBN: 9781107713918
Title: Digital Image Processing for Medical Applications
Publisher: CAMBRIDGE UNIV PRESS
Author: Dougherty

Status: Required
ISBN: 9780521860857
Title: Digital Image Processing for Medical Applications
Publisher: CAMBRIDGE UNIV PRESS
Author: Dougherty

More textbook information including prices

Enrollment Information

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