Acerca de este Curso
4.6
666 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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Cursos 100 % en línea

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Fechas límite flexibles

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Clock

Sugerido: 4 hours/week

Aprox. 24 horas para completar
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English

Subtítulos: English

Habilidades que obtendrás

Image ProcessingMatlabData CompressionVideo Compression
Globe

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Calendar

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Clock

Sugerido: 4 hours/week

Aprox. 24 horas para completar
Comment Dots

English

Subtítulos: English

Programa - Qué aprenderás en este curso

1

Sección
Clock
2 horas para completar

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 videos (Total: 67 min), 5 readings, 1 quiz
Video3 videos
Image and Video Signals 18m
Electromagnetic Spectrum 24m
Reading5 lecturas
Welcome Class!10m
Grading Policy10m
Further Reading10m
About Us10m
Download the slides10m
Quiz1 ejercicio de práctica
Homework 116m

2

Sección
Clock
2 horas para completar

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 videos (Total: 82 min), 4 readings, 1 quiz
Video5 videos
Complex Exponential Signals 18m
Linear Shift-Invariant Systems 15m
2D Convolution 15m
Filtering in the Spatial Domain 13m
Reading4 lecturas
MATLAB10m
Use of MATLAB for Programming Assignments10m
In This Module... 10m
Download the slides10m
Quiz1 ejercicio de práctica
Homework 216m

3

Sección
Clock
2 horas para completar

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 videos (Total: 92 min), 2 readings, 1 quiz
Video5 videos
Sampling 22m
Discrete Fourier Transform 16m
Filtering in the Frequency Domain 13m
Change of Sampling Rate 14m
Reading2 lecturas
In this Module...10m
Download the slides10m
Quiz1 ejercicio de práctica
Homework 316m

4

Sección
Clock
3 horas para completar

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 videos (Total: 119 min), 2 readings, 1 quiz
Video5 videos
Phase Correlation 9m
Block Matching33m
Spatio-Temporal Gradient Methods 23m
Fundamentals of Color Image Processing31m
Reading2 lecturas
In This Module...10m
Download the slides10m
Quiz1 ejercicio de práctica
Homework 418m
4.6
Direction Signs

25%

comenzó una nueva carrera después de completar estos cursos
Briefcase

83%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

Principales revisiones

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.

Instructor

Aggelos K. Katsaggelos

Joseph Cummings Professor
Department of Electrical Engineering and Computer Science

Acerca 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. ...

Preguntas Frecuentes

  • 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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