May 04, 2024  
2014-2015 Undergraduate Academic Catalog 
    
Catalog Navigation
  Catalog Home
  President’s Welcome
  Academic Calendar
  University Overview
  Enrollment Management Department
  Graduate and Professional Education
  Academic Regulations and Policies
  Student Accounts, Fees and Financial Aid
  Other Academic Resources
  Academic Departments, Undergraduate Degree Programs, Minors and Certificates
  Degree Programs, Minors and Certificates
  Two-degree Programs
  Graduate Studies Programs
  Reserve Officer Training Corps (ROTC)
  Course Descriptions
  Board of Regents, Academic Administration, Faculty and Advisory Committees
  Campus Map
  My Portfolio
HELP
2014-2015 Undergraduate Academic Catalog [ARCHIVED CATALOG]

Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)

CS 4802 - Digital Image Processing

2 lecture hours 2 lab hours 3 credits
Course Description
This course provides an introduction to digital image processing techniques. Topics covered include point processes, area processes, geometric processes, digital half-toning and image transforms. Applications such as image enhancement, image restoration, image analysis and color enhancement are also discussed. Laboratory activities include the implementation and comparison of digital image processing techniques. (prereq: CS 2852  or CS 2510  , MA 262  , Senior standing or Consent of Instructor)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
• implement simple image processing algorithms
• Understand digital filtering techniques
• Be familiar with techniques for representing color
• independently research and present a specific topic in image processing
Prerequisites by Topic
• Object-oriented design, programming, and documentation
• Probability density functions
Course Topics
• Course introduction (1 class)
• Color digital images (1 class)
• Point processes (2 classes)
• Digital Filtering (2 classes)
• Blurring, Sharpening, Edge detection (2 classes)
• Midterm/review (2 classes)
• Image scaling (2 classes)
• Digital halftoning (2 classes)
• Frequency domain (1 class)
• DFT/FFT/DCT (1 class)
• Oral Presentations (4 classes)
Laboratory Topics
• Application framework (1 session)
• Histogram equalization (1 session)
• Digital filtering (2 sessions)
• Edge detection (1 session)
• Independent project (5 sessions)
Coordinator
Christopher Taylor


Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)