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Fundamentals of Digital Image and Video Processing, Northwestern University

825 ratings
182 reviews

About this Course

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....

Top reviews


Oct 07, 2018

This course is much simpler and easier to understand for those who wanna get and set their goals towards the image engineering field. Really enjoy much doing this course. THank you everyone !!!


Jul 18, 2018

Very informative and comprehensive course in image processing. Many examples are presented throughout the course, which make the content tangible and help to better sink-in the material.

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176 Reviews


Dec 06, 2018

Too much information that cannot be digested without practical projects. However, it gives a complete overview of principles and methods for image processing.

By Raghavendra Sinha

Nov 30, 2018

amazing experience thank you for all the important techniques that have been imparted to me won't ever forget it.

By wuqimin

Nov 28, 2018

A course not easy for

By rahul kumar

Nov 18, 2018


By Surya K

Nov 17, 2018

useful course

By Abhishek Jhajharia

Nov 13, 2018

very good

By Aditya Ranjan

Nov 12, 2018

Really brief and descriptive

By Akansh Maurya

Nov 11, 2018

i didn't like this course.


Nov 10, 2018

This course was very helpful to me and I think this would be helpful to my carreer.

By Ankit Kumar

Nov 07, 2018

This course was really helpful in understanding the difficult concepts of image and video processing. I highly encourage all the college students to take this course if they atre willing to improve their grades or are just interested in learning something new.