Informações sobre o curso
4.6
690 ratings
157 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....
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Sugerido: 4 hours/week

Aprox. 24 horas restantes
Comment Dots

English

Legendas: English

Habilidades que você terá

Image ProcessingData CompressionMatlab
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Sugerido: 4 hours/week

Aprox. 24 horas restantes
Comment Dots

English

Legendas: English

Programa - O que você aprenderá com este curso

1

Seção
Clock
2 horas para concluir

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 vídeos (Total de 67 min), 5 leituras, 1 teste
Video3 videos
Image and Video Signals 18min
Electromagnetic Spectrum 24min
Reading5 leituras
Welcome Class!10min
Grading Policy10min
Further Reading10min
About Us10min
Download the slides10min
Quiz1 exercício prático
Homework 116min

2

Seção
Clock
2 horas para concluir

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 vídeos (Total de 82 min), 4 leituras, 1 teste
Video5 videos
Complex Exponential Signals 18min
Linear Shift-Invariant Systems 15min
2D Convolution 15min
Filtering in the Spatial Domain 13min
Reading4 leituras
MATLAB10min
Use of MATLAB for Programming Assignments10min
In This Module... 10min
Download the slides10min
Quiz1 exercício prático
Homework 216min

3

Seção
Clock
2 horas para concluir

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 vídeos (Total de 92 min), 2 leituras, 1 teste
Video5 videos
Sampling 22min
Discrete Fourier Transform 16min
Filtering in the Frequency Domain 13min
Change of Sampling Rate 14min
Reading2 leituras
In this Module...10min
Download the slides10min
Quiz1 exercício prático
Homework 316min

4

Seção
Clock
3 horas para concluir

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 vídeos (Total de 119 min), 2 leituras, 1 teste
Video5 videos
Phase Correlation 9min
Block Matching33min
Spatio-Temporal Gradient Methods 23min
Fundamentals of Color Image Processing31min
Reading2 leituras
In This Module...10min
Download the slides10min
Quiz1 exercício prático
Homework 418min
4.6
Direction Signs

25%

comecei uma nova carreira após concluir estes cursos
Briefcase

83%

consegui um benefício significativo de carreira com este curso

Melhores avaliações

por 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.

por 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.

Instrutores

Aggelos K. Katsaggelos

Joseph Cummings Professor
Department of Electrical Engineering and Computer Science

Sobre 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. ...

Perguntas Frequentes – FAQ

  • 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.

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.