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Learner Reviews & Feedback for Fundamentals of Digital Image and Video Processing by Northwestern University

1,378 ratings
285 reviews

About the 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


Mar 21, 2019



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 !!!

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251 - 275 of 279 Reviews for Fundamentals of Digital Image and Video Processing

By John D

Jun 24, 2018

Extremely thorough

By Miao

Jun 29, 2016


By Leonardo M

Dec 13, 2016

Very good course.

By Anuprita M

Jun 07, 2017

Really Helpful

By Weidong X

Jul 14, 2016

Good course!

By milad p

Aug 19, 2020

it was good

By Yashaswini m

Jun 16, 2018

nice course

By aresan02

Jun 23, 2016



Jun 17, 2018



Jul 22, 2017


By Shahriyar M

Aug 21, 2019

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 Angel M H P

Aug 27, 2018

La parte teórica es amplia, sin embargo, siento que hacen falta ejemplos prácticos (desarrollo de algoritmos en Matlab) y una mayor explicación de cómo pasar/plasmar lo visto en las diapositivas a la computadora; a mi parecer es mucha charla en las diapositivas y si hace falta ver algo mas de acción en la computadora.

By sameer k

Jul 20, 2018

Well it was very very mathematical, the material just starts from basics and boost up to advance in no time, good if someone want to have a background knowledge of image processing.

By Gerard V V

Jul 16, 2017

A lot of theory, almost too much, but for practical examples with Matlab no explanations, just a little box where to put the result, and if your result is wrong, no explanation...


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 Summers A D

Apr 11, 2020

I found this course too technical. Unfortunately that was not stated when i enrolled (the level was not mentioned).

By Bhargav K

Jun 20, 2016

The course has a good content. I wish there was an active participation by the mentors on the discussion forum.

By Juan S B L

Apr 28, 2017

This course is good, but I think should it be split in two parts because of density of material presented.

By vaibhav r k

Jul 13, 2020

The last 4 weeks content could be more elaborate , it becomes more confusing .

By Sushrut S

May 28, 2020

The course was too theoretical, but very informative.

By Felipe D

Aug 16, 2017

This course should be modernised. I dont mean that is bad course but for example the slide are quite messy (they urgently need a good summary in order to be used in the future) and the programming tasks are not good at all. At the end I didn't put any effort for the quizs.

By Stamatakis K

May 17, 2017

matlab online vrsion is no longer available while its use is considered as mandatory to complete quizes . Also Course does not provide Discussion forums therefore no immediate solution is provided

Despite that, seems as an amazing course

By Steve S

Sep 05, 2016

This class is far too theoretical and abstract. You only have to get 50% to pass the quizzes, which indicates how difficult it is to understand the material.

By kareem a

Jun 24, 2018

The first part of EM spectrum is unclear and needs to be explained easily and accurately

By Mrs. P S

May 19, 2020

I haven't received certificate for this course

Kindly grant the certificate