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

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1,767 ratings

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

HS

Oct 7, 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 !!!

NS

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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By Đoàn Q T

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Oct 23, 2023

very much

By Đỗ D T T

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Apr 29, 2023

Excellent

By Nguyen D T

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Mar 17, 2023

very good

By VANITHA K

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May 9, 2020

excellent

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Mar 20, 2019

great one

By Abhishek J

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Nov 13, 2018

very good

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Jun 13, 2018

very good

By AMARESH

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Mar 27, 2017

excellent

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Sep 4, 2016

excellent

By Vũ T T ( F H

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Mar 27, 2024

so good

By Nguyen D N

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Oct 30, 2023

Amazing

By Ngo T A

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May 2, 2023

perfect

By Apurva Z

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Jun 4, 2022

AWESOME

By Jean L

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Apr 19, 2019

学有所获，赞！

By rahul k

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Nov 18, 2018

AMAZING

By 上官仲恺

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Sep 3, 2018

perfect

By Nguyen M T

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May 20, 2023

Great

By Nguyễn Đ K

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Jan 31, 2023

Great

By 17MIS0382 V L

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Nov 3, 2018

super

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Feb 11, 2017

happy

By vinaya k

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Nov 13, 2024

Good

By NGUYỄN T L

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Oct 26, 2024

Good

By Dang V T

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May 12, 2023

good

By Nguyen T P ( H

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Nov 1, 2022

good

By Vummanaboina B 1

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Aug 2, 2022

good