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Fundamentals of Digital Image and Video Processing

4.5
( 201 Reviews )

Created by: Aggelos K. Katsaggelos

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Overall Score : 90 / 100

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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.
Read More product length iconTime: 18h

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Instructor Details

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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

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4.5

201 total reviews

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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 Aakash S B on 22-Aug-18

The course is quite excited and very use full to learn new thing about digital image and signal processing

By marc r on 16-Aug-16

Course lessons are good,informative and easy-to-follow.

By Colleen M on 29-Sep-16

nice class!

By Roger N P on 8-Jun-16

This is one of the best introductory courses on image processing. The lectures are very good and cover a large variety of topics.The only thing that I didn't like about this course is that the homework problems do not cover all the content. The programming problems should be designed to be more challenging.

By Abhirami R S on 11-May-17

Fascinating introduction to image processing. The course materiial is easier to follow if you have a solid background in mathematics and machine learning while basic programming skills will see you through the programming assignments.

By Nitin J on 4-Jan-17

It's a great course although it'll probably make you go back to math very often but in the end you'll feel so happy because all the parts starts to make sense, I mean, you can understand mostly of what happens behind the scene (in digital video/image processing) and you read books to deepen your knowledge.

By Abdi M S on 20-Nov-16

I enjoy the intensity and pace of curriculum offered in this course. The materials presented were comprehensive and relevant.

By Jack L on 16-Oct-16

it must be 5 starts！

By Nitin J on 22-Oct-16

Tremendous amount of information. Instructor often says "this will become less mathematical from now on!" when in fact it doesn't. Exact literature references are missing for later chapters. Still very useful material.

By Rahul R on 25-Jun-18

very good course!

By Evisa T on 18-Sep-17

I think the material touched the most important aspects of Image/Video Processing. I also enjoyed the Professor's patient and detailed style of covering the material. Quizzes were very helpful.Some of the materials need fixes but other wise I enjoyed it.

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Fundamentals of Digital Image and Video Processing
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  • Video Duration: icon 18h
  • Price: Free 0 Track Price
  • Provider: icon Coursera
  • University: icon Northwestern University
  • Language: icon English
  • Certificate: icon Yes

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