Who is this class for: This class is for anybody that wants to understand the basics of image and video processing; from how are images and videos stored in your phones and transmitted over the Internet to how medical images are used. You will learn regardless of your mathematical and engineering background; students will strong background might be able to get a more in depth understanding. The quizzes are designed not to be too time consuming, our goal is for you to learn and enjoy without stress.


Created by:  Duke University

CommitmentEach module is split in videos, you can finish a module in a week. Quizzes should take minutes.
Language
English, Subtitles: Chinese (Simplified)
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said
Syllabus

FAQs
How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
Duke University
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
Ratings and Reviews
Rated 4.7 out of 5 of 125 ratings

Many Thanks!!!

The pace was very good for complete new starter, but after going into PDEs, it becomes a bit more difficult to follow.

It would be ideal if some answers for the optional programming exercises could be provided.

Great course with details on IMAGE processing for so many use cases from entertainment to medical brain imaging!

one of the best course to understand details of image processing, maths behind, algorithm used, art of possibility and modeling. Professor had done great job of explaining Spare modelling and Gaussian Mixture Model in very simple way. I would definitely recommend this course to practitioner who want to do image processing or deep learning in image classification.

This is simply an incredible course to take for beginners. It takes you in depth into the theoretical concepts of image processing. As for the implementations, those aren't discussed in great detail, but are left as an exercise for the student. All in all, an incredible course.