CourseraIllustratorFree courseCertificate

Fundamentals of Digital Image and Video Processing

4.5

201 reviews

Created by: Aggelos K. Katsaggelos

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 90 / 100

Course Description

In this class you will learn the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial and scientific interests.Digital images and videos are everywhere these days - in thousands of scientific (e.g., astronomical, bio-medical), consumer, industrial, and artistic applications. Moreover they come in a wide range of the electromagnetic spectrum - from visible light and infrared to gamma rays and beyond. The ability to process image and video signals is therefore an incredibly important skill to master for engineering/science students, software developers, and practicing scientists. Digital image and video processing continues to enable the multimedia technology revolution we are experiencing today. Some important examples of image and video processing include the removal of degradations images suffer during acquisition (e.g., removing blur from a picture of a fast moving car), and the compression and transmission of images and videos (if you watch videos online, or share photos via a social media website, you use this everyday!), for economical storage and efficient transmission. This course will cover the fundamentals of image and video processing. We will provide a mathematical framework to describe and analyze images and videos as two- and three-dimensional signals in the spatial, spatio-temporal, and frequency domains. In this class not only will you learn the theory behind fundamental processing tasks including image/video enhancement, recovery, and compression - but you will also learn how to perform these key processing tasks in practice using state-of-the-art techniques and tools. We will introduce and use a wide variety of such tools - from optimization toolboxes to statistical techniques. Emphasis on the special role sparsity plays in modern image and video processing will also be given. In all cases, example images and videos pertaining to specific application domains will be utilized.

Time: 18h

Instructor Details

Aggelos K. Katsaggelos

4.5 Rating
201 Reviews

Professor Aggelos Katsaggelos joined the faculty at Northwestern University in 1985, where he is now the Joseph Cummings Professor in the Department of Electrical Engineering and Computer Science. He is also the Director of the Motorola Center for Seamless Communications, a member of the Academic Affiliate Staff, NorthShore University Health System, an affiliated faculty at the Department of Linguistics at NU, and he has an appointment at the Argonne National Laboratory. He received the Diploma degree in electrical and mechanical engineering from the Aristotelian University of Thessaloniki, Thessaloniki, Greece, in 1979, and the M.S. and Ph.D. degrees in electrical engineering from the Georgia Institute of Technology, Atlanta, in 1981 and 1985, respectively. His current research interests include multimedia signal processing (e.g., image and video recovery and compression, audio-visual speech and speaker recognition, indexing and retrieval), multimedia communications, computer vision, pattern recognition, and machine learning. He has published extensively (5 books, 210 journal papers, 500 conference papers, 45 book chapters, 25 patents). So far 70 M.S. and 46 Ph.D. students have graduated under his supervision. He is a Fellow of IEEE and SPIE and his awards include the IEEE Third Millennium Medal, the IEEE Signal Processing Society Meritorious Service Award, the IEEE Signal Processing Society Technical Achievement Award, and a number of paper awards. He was the Editor-in-Chie

Adobe Illustrator CC - Essentials Training Course (2025)
4.8 (33,107 Reviews)

- Provider: Udemy
- Time: 12.1h

$124.99

Adobe Illustrator CC – Advanced Training Course (2025)
4.8 (10,960 Reviews)

- Provider: Udemy
- Time: 10.2h

$174.99

Adobe Illustrator Advanced Vector Artwork (2020)
4.8 (1,988 Reviews)

- Provider: Udemy
- Time: 8.3h

$14.99

Adobe Illustrator - Beginner to Pro Level With New AI (2026)
4.8 (1,368 Reviews)

- Provider: Udemy
- Time: 13.7h

$89.99

How to create flat design icons in 15 minutes in Illustrator (2023)
4.8 (335 Reviews)

- Provider: Udemy
- Time: 5.4h

$124.99

Logo Design Mastery In Adobe Illustrator (2022)
4.7 (5,700 Reviews)

- Provider: Udemy
- Time: 5.8h

$139.99

All Illustrator courses

Reviews

4.5

201 reviews in total

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Jing Y on 12-Nov-19

Though some of the parts still require a lot of extracurricular readings, this course is nice and the professor is truly an expert in this area. If you have enough patience and pay efforts to finish it all, it will build a strong foundation for the further study of image processing.

By K. S b on 8-Nov-19

superb coursera

By JAY R P on 6-Nov-19

Gives in depth knowledge about images and explained very well!

By AKASH on 22-Oct-19

Outstanding course for beginners willing to learn image processing

By Keita Y on 7-Oct-19

Broad topics in image and video processing are covered and it was very useful to grasp what kind of techniques are being used in this field. Although most of the subjects were presented in a very comprehensive manner, some contents (maybe advanced ones) still have rooms for improvement.For the home work assignments, most of the programming problems were too easy (the one in week 12 was challenging, so other weeks could have had problems with equal difficulty.) Also, some problems' statement seemed somewhat ambiguous. If read carefully, the meaning is clear, but since people from all over the globe are taking the course, it might be helpful if they were written in more clear way. Lastly, maybe because the course was uploaded several years ago, the activity of the forum was very low, which spoiled one of the benefit of using MOOC.

By H. M R T B on 29-Sep-19

The course is very informative and the way ot present really helps to understand to the full extent.

By Naveen V on 14-Sep-19

This course covers a wide range of topics starting from Signals and Systems all the way to applications of Machine Learning in the domain of Image Processing. One must not be fooled by the short length of the Video Lectures , as every second is packed with information. A minor lapse in concentration may force you to replay the Video Lectures. Upon completion of this course, one would gain a good understanding of topics in Video Compression and Image Processing and will be better oriented to learn and take on challenges. Brushing up one's knowledge on Digital Signal Processing and Differential Calculus would be highly beneficial in following the contents of the mathematical and signal processing portions of the lecture.

By Harsh S on 31-Aug-19

Accent was a bit hard to understand for me, I used google to study separate topics and then gave assignments. Helpful as a guide to direct you what all to study in the space.

By Mohammed A M on 29-Aug-19

Its very great opportunity to attend this course and learn the skills about the fundamentals of image and video processing and different techniques related to these concepts.

By Shahriyar M on 21-Aug-19

The content of the course mainly focuses on the theoretical side of image processing rather than practical. Even though practical quizzes were easy and not challenging, other grading tasks required too much memorization. On the other hand, the instructor explains the topics very well and makes it easy to understand complicated points.

By Ricardo A d C S on 17-Aug-19

A brilliant course covering a variety of topics involved in image and video processing. Professor Katsaggelos is an amazing teacher who introduces concepts in a very clear and interesting manner, making the experience all the more memorable.

By Hemalatha N on 4-Aug-19