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ECE 5273
Digital Image Processing
Spring 2024
- TIME:
- TR 4:30 - 5:45 PM
- PLACE:
- SEC N202
- INSTRUCTOR:
-
Dr. J. P. Havlicek
DEH 333
Office Hours: TR 2:00 - 3:00 PM and by appointment
E-mail: joebob@ou.edu
- TEXT & REFERENCES:
-
- "ECE 5273 Digital Image Processing" Lecture Notes Pack.
The lecture notes will be made available on Canvas.
- Recommended text: A. Bovik, The Essential Guide to Image
Processing, Academic Press, Burlington, MA, 2009,
ISBN 978-0-12-374457-9.
This book has significant overlap with the course lecture notes.
The examples are implemented in LabVIEW.
- Recommended text: R.C. Gonzalez and R.E. Woods, Digital Image
Processing, Prentice Hall, Upper Saddle River, NJ, 2017,
ISBN 978-0133356724. Some previous editions were published by
Addison-Wesley. This is a classic comprehensive text on
digital image processing that is currently in its 4th edition.
- COURSE WEB PAGE:
-
http://coecs.ou.edu/Joseph.P.Havlicek/ece5273/
- CANVAS:
-
http://canvas.ou.edu
You will submit your homework assignments electronically on Canvas.
Announcements and lecture notes will also be posted on Canvas.
- PREREQUISITE:
-
ECE 3793, Signals and Systems, or elementary knowledge of the
Fourier transform, the Fourier series, the discrete Fourier transform, and
their use in linear system analysis.
- REASONABLE ACCOMMODATION POLICY:
-
The University of Oklahoma is committed to providing reasonable accommodation
for all students with disabilities. Students with disabilities who require
accommodations in this course are requested to speak with the instructor as
early in the semester as possible. Students with disabilities must be
registered with the Accessibility and Disability Resource Center prior to receiving
accommodations in this course.
The Accessibility and Disability Resource Center is located in
the University Community Center at 730 College Avenue,
(405) 325-3852 (Tel) or (405) 325-3494 (VP).
The Accessibility and Disability Resource Center web site is located at
http://www.ou.edu/adrc
- RELIGIOUS HOLIDAYS:
-
It is the policy of the University to excuse absences of students that result
from religious observances and to provide without penalty for the
rescheduling of examinations and additional required classwork that may fall
on religious holidays. It is the responsibility of the student to
make alternate arrangements with the instructor at least one week prior
to the actual date of the religious holiday.
- UNIVERSITY POLICY ON ACADEMIC HONESTY:
-
http://www.ou.edu/integrity
This page outlines the University's expectations of academic honesty, defines
misconduct, provides examples of prohibited conduct, and explains the sanctions
available for those found guilty of misconduct. Additional information
clarifying the precise meaning of academic misconduct in this course
is provided below.
The UOSA Statement of Academic Integrity will be used in this course.
- COURSE DESCRIPTION:
-
This introductory graduate-level course provides an overview of the main
concepts, results, and techniques that are the foundations of current
academic research and industry practice in digital image processing.
- HOMEWORK:
-
Homework assignments will be posted on the course web site and will generally be
due on Canvas at midnight on the published due date.
Solutions will be posted on the course web site.
Late homework will not be accepted (see policy below).
You are encouraged to
work together on homework, but DO NOT COPY! Each problem solution
that you turn in must be your own;
- if you copy another person's solution and turn it in as your own,
then you are guilty of academic misconduct.
- If you copy an old homework solution without working the problem yourself
and turn it in, then you are guilty of academic misconduct.
All computer codes and results that you submit in this course must be your own
original work.
- If you obtain code from another person in an electronic format and
incorporate it into the solution that you turn in, then
you are guilty of academic misconduct.
- If you obtain code from another person in electronic or hardcopy
formats and then type it in yourself and include it
in the solution that you turn in, then you are guilty of
academic misconduct.
- In certain cases, it may be acceptable to incorporate existing public
domain and/or library computer algorithms and codes into a solution
that you submit. In such cases, however, you must always obtain prior
authorization from the instructor and you must always document the source
of any algorithms and/or code that is not your own original work.
- LATE HOMEWORK POLICY:
-
Late homework will not be accepted.
There are two reasons for this policy. First,
accepting a late homework assignment from one student is unfair to other
students who may have stayed up all night to get the assignment done
and may also
have sacrificed grades in other classes to get it done.
Second, it would be detrimental to the overall learning outcomes of the class
to delay the posting of homework solutions in order to accommodate late assignments.
- TESTS & EXAMS:
-
There will be two tests. There will NOT be a final exam.
The Tests will be announced in class at least one week in advance.
You may use calculators
on the tests, but you may NOT use calculator programs.
The tests are OPEN NOTES. This means that you may access a clean copy of the course lecture
notes during the tests.
Other materials are NOT allowed.
All work that you submit on your
test paper must be your own; collaboration on a test constitutes a serious
case of academic misconduct.
If you miss a test and your absence is NOT officially excused,
then you will receive a zero grade.
If you miss a test and your absence IS officially excused,
then a makeup test will be given by arrangement with the instructor. Makeup
tests may be written or oral at the discretion of the instructor.
- TERM PROJECT:
-
A term project will be required of all students in the class. You will design
your own term project. Written proposals for the term project will be due
near the middle of the semester. The due date will be announced in class and
posted on the course web site. A written progress report will also be due
sometime between the proposal and the final project submission; the due date
will be announced in class and posted on the course web site.
There is a required format for the written project proposal and written
reports: they are required to conform to either
the IEEE Signal Processing Society requirements for conference papers
or
the IEEE Computer Society requirements for conference papers.
More information on this requirement will be given in class.
The term project must involve significant creative activity and analysis or
design. Look in recent journal articles and conference
proceedings for ideas (analysis, extension, and implementation of a technique
described in a published paper do constitute creative activity).
The term project should not simultaneously be used
to satisfy requirements for
another class unless advance permission is obtained from the instructor.
For substantial projects, joint or group work may be acceptable, but must be
approved by the instructor in advance.
The standards of academic honesty given above for homework apply to the term
project as well.
Project Suggestions:
- Development of new techniques.
- Extension of existing techniques.
- Simulation and analysis of existing techniques that yields new insight.
- Application of existing techniques to real-world image processing or
machine vision problems.
- COMPUTER USE:
-
Computer use will be required for the homework assignments and term project. You may
use GCoE computers or any other computers that you have access to. Use of
C, C++, Python, and/or Matlab are endorsed and recommended.
Other languages are also acceptable.
Matlab will be required for some homework assignments.
Instructions for how to install Matlab on your own computer are available on the
"handouts" section of the course web site.
Matlab is also available on the College of Engineering
Virtual Lab (see handout on the course web site).
- GRADING:
-
Your final numerical grade will be calculated as shown in the following table.
| What |
Value |
| Homework |
25% |
| Test I |
20% |
| Test II |
20% |
| Project Proposal |
5% |
| Project Progress Report |
5% |
| Term Project |
25% |
These numerical grades will be converted into letter grades using a curve
determined by the instructor.
The same curve will be applied to all students in the class.
The curve will never hurt your grade relative to the
ten-point scale.
COURSE OUTLINE:
- Course Introduction, Image Types, Imaging Geometry, Image Acquisition,
Imaging Devices, Image Representation.
- Binary Image Processing.
- Histogram, Point Operations, Algebraic & Geometric Image Operations.
- Digital Fourier Transform, Sampling Theorem.
- Convolution, Linear Filtering, Linear Image Enhancement, Linear Image
Restoration (Deconvolution).
- Nonlinear Image Filtering.
- Introduction to Digital Image Analysis.
- Digital Image Coding and Compression.
- Video Coding.
- Introduction to Machine Learning.
- Introduction to Video Object Tracking.
ADDITIONAL REQUIRED UNIVERSITY LEGAL & POLICY STATEMENTS
TITLE IX RESOURCES AND REPORTING REQUIREMENT:
Anyone who has been impacted by gender-based violence, including dating violence,
domestic violence, stalking, harassment, and sexual assault deserves access to
resources so that they are supported personally and academically.
The University of Oklahoma is committed to offering resources to those impacted, including:
speaking with someone confidentially about your options, medical attention, counseling,
reporting, academic support, and safety plans. If you would like to speak with someone
confidentially, please contact
OU Advocates
(available 24/7 at 405-615-0013) or another confidential resource
(see
"Can I make an anonymous report?").
You may also choose to report gender-based violence and discrimination through other
means, including by contacting the
Institutional Equity Office
(ieo@ou.edu, 405-325-3546)
or police (911).
Because the University of Oklahoma is committed to the safety of you and other students,
I, as well as other faculty, Graduate Assistants, and Teaching Assistants, are mandatory
reporters. This means that we are obligated to report gender-based violence that has been
disclosed to us to the Institutional Equity Office. This includes disclosures that occur
in: class discussion, writing assignments, discussion boards, emails and during
Student/Office Hours. For more information, please visit the
Institutional Equity Office.
ADJUSTMENTS FOR PREGNANCY/CHILDBIRTH RELATED ISSUES:
Should you need modifications or adjustments to your course requirements because of
documented pregnancy-related or childbirth-related issues, please contact your professor
or the Accessibility and Disability Resource Center at 405/325-3852 as soon as possible.
Also, see the Institutional Equity Office
FAQ on Pregnant and Parenting Students' Rights for
answers to commonly asked questions.
MENTAL HEALTH SUPPORT SERVICES:
If you are experiencing any mental health issues that are impacting your academic
performance, counseling is available at the University Counseling Center (UCC).
The Center is located on the second floor of the Goddard Health Center, at 620 Elm
Rm. 201, Norman, OK 73019. To schedule an appointment call (405) 325-2911.
For more information, please visit
University Counseling Center.
Updated: January 18, 2024
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