University of Florida

Department of Electrical and Computer Engineering

EEE 6512, Section 012A 

Image Processing and Computer Vision

Fall 2016

Course Description

This is a 3-credit course.

This course introduces fundamental concepts and techniques for image processing and computer vision.  We will address 1) how to efficiently represent and process image/video signals, and 2) how to deliver image/video signals over networks.  Topics to be covered include: image acquisition and display using digital devices, properties of human visual perception, sampling and quantization, image enhancement, image restoration, two-dimensional Fourier transforms, linear and nonlinear filtering, morphological operations, noise removal, image deblurring, edge detection, image registration and geometric transformation, image/video compression, video communication standards, video transport over the Internet and wireless networks, object recognition and image understanding. 

Course Prerequisites

Required Textbook


Recommended Readings


Dr. Dapeng Wu
Office: NEB 431


1) Fuyong Xing

Office hour: Friday, 3:00 PM - 4:00 PM. Location: NEB 350.

2) Manish Sapkota  

Office hour: Tuesday, 3:00 PM - 4:00 PM. Location: NEB 350.

3) Qiuyuan Huang

Course website:

Meeting Time

Monday, Wednesday, Friday, period 7 (1:55 pm - 2:45 pm)    

Meeting Room

NEB 102

Office Hours

Structure of the Course

The course consists of lectures, 6 homework assignments, and 1 project.

This course is primarily a lecture course.   I cover all important material in lectures.  Since EEL 3135 and  EEL 4516 are  prerequisites, I assume some previous knowledge about DSP, probability theory and stochastic processes, and hence I will cover some material very quickly.  Thus, depending on what and how much you recall from earlier study, varying amounts of reading in introductory books on DSP, probability theory and stochastic processes (other than the course textbook) may be necessary; these readings are up to the student.  I will only give reading assignments from the course textbook.

Attending lecture is quite important as I may cover material not available in any book easily accessible to you. I use Powerpoint presentation during lecture.  Lecture notes will be posted on the course website before the class.  The lecture is to engage the students in independent thinking, critical thinking, and creative thinking, help the students organize the knowledge around essential concepts and fundamental principles, and develop conditionalized knowledge which tells them when, where and why a certain method is applicable to solving the problem they encounter.  

I do not intend for the WWW material to be a substitute for attending lecture since engaging the students in active thinking, making logical connections between the old knowledge and the new knowledge, and providing insights are the objectives of my lecture.   The lecture notes are posted on the web so that you can miss an occasional lecture and still catch up, and it makes taking notes easier. 

Course Outline

Course Objectives

Upon the completion of the course, the student should be able to


Please find handouts here.

Course Policies

Course Evaluation

Students are expected to provide feedback on the quality of instruction in this course by completing online evaluations at Evaluations are typically open during the last two or three weeks of the semester, but students will be given specific times when they are open. Summary results of these assessments are available to students at

Software Use

All faculty, staff, and students of the University are required and expected to obey the laws and legal agreements governing software use. Failure to do so can lead to monetary damages and/or criminal penalties for the individual violator. Because such violations are also against University policies and rules, disciplinary action will be taken as appropriate. We, the members of the University of Florida community, pledge to uphold ourselves and our peers to the highest standards of honesty and integrity.

Student Privacy

There are federal laws protecting your privacy with regards to grades earned in courses and on individual assignments. For more information, please see:

Campus Resources:

Health and Wellness

U Matter, We Care:

If you or a friend is in distress, please contact or 352 392-1575 so that a team member can reach out to the student.

Counseling and Wellness Center:, and  392-1575; and the University Police Department: 392-1111 or 9-1-1 for emergencies.

Sexual Assault Recovery Services (SARS)

Student Health Care Center, 392-1161.

University Police Department at 392-1111 (or 9-1-1 for emergencies), or

Academic Resources

E-learning technical support, 352-392-4357 (select option 2) or e-mail to

Career Resource Center, Reitz Union, 392-1601.  Career assistance and counseling.

Library Support, Various ways to receive assistance with respect to using the libraries or finding resources.

Teaching Center, Broward Hall, 392-2010 or 392-6420. General study skills and tutoring.

Writing Studio, 302 Tigert Hall, 846-1138. Help brainstorming, formatting, and writing papers.

Student Complaints Campus:

On-Line Students Complaints:



Grades Percentage Dates
Homework 30% See the course calendar
Project proposal 10% 4pm, October 28
Project report 60% 4pm, December 14

The project report consists of

  1. (50%) A written report for your project
  2. (25%) Computer programs that you develop for your project
  3. (10%) Powerpoint file of your presentation
  4. (15%) Your presentation/demo video on YouTube

Grading scale:

Top 25% students will receive A. Average score will be at least B+.

More information on UF grading policy may be found at:


Class Project:

The class project will be done individually (that is, teaming with other students is not allowed).   Each project requires a proposal and a final report.   The final report is expected to be in the format of a conference paper plus computer programs, a Powerpoint file, and a video.   On Oct. 28, the project proposal (up to 2 pages) is due.  On Dec. 14, the final report (up to 10 pages) is due.   For details about the project, please read here.

Suggested topics for projects are listed here.

Course calendar can be found here.

Related courses in other schools:

George Mason University, Computer Vision

Johns Hopkins University, Image Compression and Packet Video

Polytechnic University, Video Processing

Purdue University, Digital Video Systems

Stanford University, Digital Video Processing

University of California, Berkeley, Multimedia Signal Processing, Communications and Networking

University of Maryland, College Park, Digital Image Processing

University of Maryland, College Park, Multimedia Communication & Information Security: A Signal Processing Perspective

Useful links


ATSC (Advanced Television Systems Committee) & HDTV (High Definition Television):

MPEG (Moving Picture Experts Group):


HSI color model

Compression link:






Digital Video and Multimedia Standards Pages

Digital TV and DVD

Overview of the AVI format

Signal Processing Information Base (SPIB)

Computer Vision

Public Domain Image Databases

CMU Database

Patent licensing

As with MPEG-2 Parts 1 and 2 and MPEG-4 Part 2 amongst others, the vendors of H.264/AVC products and services are expected to pay patent licensing royalties for the patented technology that their products use. The primary source of licenses for patents applying to this standard is a private organization known as MPEG-LA, LLC (which is not affiliated in any way with the MPEG standardization organization, but which also administers patent pools for MPEG-2 Part 1 Systems, MPEG-2 Part 2 Video, MPEG-4 Part 2 Video, and other technologies).

To search patents, visit free patent searching site: