About this Course
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Approx. 18 hours to complete

English

Subtitles: English

Skills you will gain

Image ProcessingData CompressionMatlab

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 18 hours to complete

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

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.

...
3 videos (Total 67 min), 5 readings, 1 quiz
3 videos
Image and Video Signals 18m
Electromagnetic Spectrum 24m
5 readings
Welcome Class!10m
Grading Policy10m
Further Reading10m
About Us10m
Download the slides10m
1 practice exercise
Homework 116m
Week
2
2 hours to complete

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.

...
5 videos (Total 82 min), 4 readings, 1 quiz
5 videos
Complex Exponential Signals 18m
Linear Shift-Invariant Systems 15m
2D Convolution 15m
Filtering in the Spatial Domain 13m
4 readings
MATLAB10m
Use of MATLAB for Programming Assignments10m
In This Module... 10m
Download the slides10m
1 practice exercise
Homework 216m
Week
3
2 hours to complete

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.

...
5 videos (Total 92 min), 2 readings, 1 quiz
5 videos
Sampling 22m
Discrete Fourier Transform 16m
Filtering in the Frequency Domain 13m
Change of Sampling Rate 14m
2 readings
In this Module...10m
Download the slides10m
1 practice exercise
Homework 316m
Week
4
3 hours to complete

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

...
5 videos (Total 119 min), 2 readings, 1 quiz
5 videos
Phase Correlation 9m
Block Matching33m
Spatio-Temporal Gradient Methods 23m
Fundamentals of Color Image Processing31m
2 readings
In This Module...10m
Download the slides10m
1 practice exercise
Homework 418m
4.6
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Top reviews from Fundamentals of Digital Image and Video Processing

By VTMar 21st 2019

AMAZING COURSE.\n\nTAKES YOU THROUGH EVERY TOPIC IN IMAGE PROCESSING.\n\nTHIS COURSE GREATLY HELPED ME WITH UNIVERSITY STUDIES AS WELL,\n\nTHANK YOU NORTHWESTERN UNIVERSITY AND PROFESSOR AGGELOS K.

By HSOct 7th 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 !!!

Instructor

Avatar

Aggelos K. Katsaggelos

Joseph Cummings Professor
Department of Electrical Engineering and Computer Science

About 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. ...

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