Digital Image Processing

Fall 2005 - Course Syllabus

PLEASE CHECK THE WEB PAGE OF THIS COURSE (http://www.cs.appstate.edu/~rt/ImgProc/f05) PERIODICALLY FOR UPDATES, ASSIGNMENTS, CLASS NOTES, ANNOUNCEMENTS, and POSSIBLE CHANGES.

Professors:
Dr. Rahman Tashakkori (ASU) email: mailto:rt@cs.appstate.edu,
Dr. Suzanne Lea (UNCG) email: smlea@uncg.edu,
Office: CAP 121, Office Phone: 262-7009
Office Hours: MWF 8:00-10:00,  MW 2:00-3:00, T 8:00-10:00, and Open Door Policy.
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 the NCREN at the remote sites
Final Exam: Thursday, December 8, 2005 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

Attendance and Academic Integrity

Students are required to attend all classes.  Each unexcused absence will result in a 3 point drop from the final grade.  Students with more than 8 absences will fail the course.  No make-up exams will be given in this course.  If you missed an exam due to an "extreme circumstances" such as illnesses, death of a relative, or problems of this nature, you have to present documents (e.g. a letter from a doctor, a letter from a hospital, or an obituary from the funeral).  In such cases, student's final exam's grade will be used for the missed exam.

All assignments are due before the start of the class on the due date. No assignment will be accepted once the solution is discussed in the classroom.  All assignments and programs MUST be completed by students individually unless the assignment or project is given as a team project.  In such a case, the team members can work together on the project.  You may discuss the assignments and programs among each other but you have to write/edit programs by YOURSELF.   Please see the ASU Academic Integrity Policy for a description of the woes that befall a transgressor!