课程信息
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....
Globe

100% 在线课程

立即开始,按照自己的计划学习。
Calendar

可灵活调整截止日期

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Clock

建议:4 hours/week

完成时间大约为24 小时
Comment Dots

English

字幕:English

您将获得的技能

Image ProcessingMatlabData CompressionVideo Compression
Globe

100% 在线课程

立即开始,按照自己的计划学习。
Calendar

可灵活调整截止日期

根据您的日程表重置截止日期。
Clock

建议:4 hours/week

完成时间大约为24 小时
Comment Dots

English

字幕:English

教学大纲 - 您将从这门课程中学到什么

1

章节
Clock
完成时间为 2 小时

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 个视频(共 67 分钟), 5 个阅读材料, 1 个测验
Video3 个视频
Image and Video Signals 18分钟
Electromagnetic Spectrum 24分钟
Reading5 个阅读材料
Welcome Class!10分钟
Grading Policy10分钟
Further Reading10分钟
About Us10分钟
Download the slides10分钟
Quiz1 个练习
Homework 116分钟

2

章节
Clock
完成时间为 2 小时

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 个视频(共 82 分钟), 4 个阅读材料, 1 个测验
Video5 个视频
Complex Exponential Signals 18分钟
Linear Shift-Invariant Systems 15分钟
2D Convolution 15分钟
Filtering in the Spatial Domain 13分钟
Reading4 个阅读材料
MATLAB10分钟
Use of MATLAB for Programming Assignments10分钟
In This Module... 10分钟
Download the slides10分钟
Quiz1 个练习
Homework 216分钟

3

章节
Clock
完成时间为 2 小时

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 个视频(共 92 分钟), 2 个阅读材料, 1 个测验
Video5 个视频
Sampling 22分钟
Discrete Fourier Transform 16分钟
Filtering in the Frequency Domain 13分钟
Change of Sampling Rate 14分钟
Reading2 个阅读材料
In this Module...10分钟
Download the slides10分钟
Quiz1 个练习
Homework 316分钟

4

章节
Clock
完成时间为 3 小时

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 个视频(共 119 分钟), 2 个阅读材料, 1 个测验
Video5 个视频
Phase Correlation 9分钟
Block Matching33分钟
Spatio-Temporal Gradient Methods 23分钟
Fundamentals of Color Image Processing31分钟
Reading2 个阅读材料
In This Module...10分钟
Download the slides10分钟
Quiz1 个练习
Homework 418分钟
4.6
Direction Signs

25%

完成这些课程后已开始新的职业生涯
Briefcase

83%

通过此课程获得实实在在的工作福利

热门审阅

创建者 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.

创建者 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.

讲师

Aggelos K. Katsaggelos

Joseph Cummings Professor
Department of Electrical Engineering and Computer Science

关于 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. ...

常见问题

  • 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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