Image and Video Processing From Mars to Hollywood with a Stop at the Hospital

In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.The course starts by looking at how the human visual system works and then teaches you about the engineering, mathematics, and computer science that makes digital images work. You will learn the basic algorithms used for adjusting images, explore JPEG and MPEG standards for encoding and compressing video images, and go on to learn about image segmentation, noise removal and filtering. Finally, we will end with image processing techniques used in medicine.

This course consists of 7 basic modules and 2 bonus (non-graded) modules. There are optional MATLAB exercises; learners will have access to MATLAB Online for the course duration. Each module is independent, so you can follow your interests.

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Syllabus

Syllabus - What you will learn from this course
Week 1
Introduction to image and video processing
Week 2
Image and video compression
Week 3
Spatial processing
Week 4
Image restoration
Week 5
Image segmentation
Week 6
Geometric PDEs
Week 7
Image and video inpainting
Week 8
Sparse modeling and compressed sensing
Week 9
Medical imaging

FAQ

When will I have access to the lectures and assignments?

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

What will I get if I purchase the Certificate?

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.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Will I have fun?

Yes

Do I need strong math background for this class?

Some but not much. If you have you will get a more in depth understanding. We hope you know linear algebra for example. Again, some concepts you will grasp even without strong mathematical background. Some will consider this an advanced undergrad class.

Who uses image processing in industry?

Who doesn't?

Do I need any programming skills?

We suggest some optional (not graded) programming exercises. The forums discuss them a lot and this is fun.

Will I receive a transcript from Duke University for completing this course?

No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Reviews

Very informative very useful and exciting course. Programming exercises must be included as compulsory assignments. I think it is really necessary and it will be extremely helpful to understand better

Prof. Sapiro is amazing at explaining things, and having both an in person and an online component to the course was incredibly helpful.

It is a great course that the professor teaches very patiently. The knowledge is very advanced that we can use them in our daily work and projects. Thanks , professor and Duke.Thanks, coursera.

It's definitely a great course if you are entering in the world of Image Processing and the basics to advanced are explained very nicely.

Thank you Sir!