Digital Image Processing

Fall 2004 - Course Syllabus

PLEASE CHECK THE WEB PAGE OF THIS COURSE (http://www.cs.appstate.edu/~rt/ImgProc/f04/) PERIODICALLY FOR UPDATES, ASSIGNMENTS, CLASS NOTES, ANNOUNCEMENTS, and POSSIBLE CHANGES.

Professors:
Dr. Rahman Tashakkori (ASU) email: [email protected],
Dr. Suzanne Lea (UNCG) email: [email protected],
Office: CAP 121, Office Phone: 262-7009
Office Hours: MWF 9:00-11:00, MW 2:00-4:00.
Online office hours will be decided at the beginning of the semester.
Class Time/Location: MWF 1:00-1:50 Room 246 CAP and over NCREN
Final Exam: Monday, December 13, 2004 Noon-2:30 PM

Course Description
This course is an introduction to Digital Image Processing. It is designed to cover digital techniques for image representation, enhancement, compression and restoration. The course is intended for the first year graduate and upper level undergraduate students.

Some of the Topics
Introduction
Mathematical Background
Fundamentals
Intensity Transformations and Spatial Filtering
Frequency Domain Processing
Image Restoration
Color Image Processing
Image Compression

Prerequisite
Computer Science - II and Linear Algebra
It is helpful to have a background in digital signal processing and statistics.

Required Texts
R. Gonzalez, R. Woods, and S. Eddins, Digital Image Processing using MATLAB, Prentice Hall,
Additional readings will be posted on the web page of the course.

Another Reference:
Image Processing Toolbox manual by MathWorks Inc. The pdf file will be made available to you for class use.

Grading Policy
The following grading scale will used in this course:
                         Exam (1) and (2), 15% (each),
                         Final exam, 25%,
                         Assignments and Labs 15%,
                         Individual Research Papers and Projects %20.
                        Quizzes and class participation %10.

Grading Scale
A = 90 to 100
B = 80 to 89
C = 70 to 79
D = 60 to 69
F = Below 60