À propos de ce cours
4.6
663 ratings
153 reviews
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....
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Cours en ligne à 100 %

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Calendar

Dates limites flexibles

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Clock

Recommandé : 4 hours/week

Approx. 24 heures pour terminer
Comment Dots

English

Sous-titres : English

Compétences que vous acquerrez

Image ProcessingMatlabData CompressionVideo Compression
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

Recommandé : 4 hours/week

Approx. 24 heures pour terminer
Comment Dots

English

Sous-titres : English

Programme du cours : ce que vous apprendrez dans ce cours

1

Section
Clock
2 heures pour terminer

Introduction to Image and Video Processing

In this module we look at images and videos as 2-dimensional (2D) and 3-dimensional (3D) signals, and discuss their analog/digital dichotomy. We will also see how the characteristics of an image changes depending on its placement over the electromagnetic spectrum, and how this knowledge can be leveraged in several applications. ...
Reading
3 vidéos (Total 67 min), 5 lectures, 1 quiz
Video3 vidéos
Image and Video Signals 18 min
Electromagnetic Spectrum 24 min
Reading5 lectures
Welcome Class!10 min
Grading Policy10 min
Further Reading10 min
About Us10 min
Download the slides10 min
Quiz1 exercice pour s'entraîner
Homework 116 min

2

Section
Clock
2 heures pour terminer

Signals and Systems

In this module we introduce the fundamentals of 2D signals and systems. Topics include complex exponential signals, linear space-invariant systems, 2D convolution, and filtering in the spatial domain. ...
Reading
5 vidéos (Total 82 min), 4 lectures, 1 quiz
Video5 vidéos
Complex Exponential Signals 18 min
Linear Shift-Invariant Systems 15 min
2D Convolution 15 min
Filtering in the Spatial Domain 13 min
Reading4 lectures
MATLAB10 min
Use of MATLAB for Programming Assignments10 min
In This Module... 10 min
Download the slides10 min
Quiz1 exercice pour s'entraîner
Homework 216 min

3

Section
Clock
2 heures pour terminer

Fourier Transform and Sampling

In this module we look at 2D signals in the frequency domain. Topics include: 2D Fourier transform, sampling, discrete Fourier transform, and filtering in the frequency domain....
Reading
5 vidéos (Total 92 min), 2 lectures, 1 quiz
Video5 vidéos
Sampling 22 min
Discrete Fourier Transform 16 min
Filtering in the Frequency Domain 13 min
Change of Sampling Rate 14 min
Reading2 lectures
In this Module...10 min
Download the slides10 min
Quiz1 exercice pour s'entraîner
Homework 316 min

4

Section
Clock
3 heures pour terminer

Motion Estimation

In this module we cover two important topics, motion estimation and color representation and processing. Topics include: applications of motion estimation, phase correlation, block matching, spatio-temporal gradient methods, and fundamentals of color image processing...
Reading
5 vidéos (Total 119 min), 2 lectures, 1 quiz
Video5 vidéos
Phase Correlation 9 min
Block Matching33 min
Spatio-Temporal Gradient Methods 23 min
Fundamentals of Color Image Processing31 min
Reading2 lectures
In This Module...10 min
Download the slides10 min
Quiz1 exercice pour s'entraîner
Homework 418 min
4.6
Direction Signs

25%

a commencé une nouvelle carrière après avoir terminé ces cours
Briefcase

83%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours

Meilleurs avis

par SSJul 18th 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.

par DKNov 4th 2017

This course is very beautifully designed to instill in your mind the concepts of Image and Video processing along with the graded quizzes to check how much actually you learned.

Enseignant

Aggelos K. Katsaggelos

Joseph Cummings Professor
Department of Electrical Engineering and Computer Science

À propos de Northwestern University

Northwestern University is a private research and teaching university with campuses in Evanston and Chicago, Illinois, and Doha, Qatar. Northwestern combines innovative teaching and pioneering research in a highly collaborative environment that transcends traditional academic boundaries. ...

Foire Aux Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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