About this course: 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.
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.
Taught by: Guillermo Sapiro, Professor
Electrical and Computer Engineering
| Commitment | Each module is split in videos, you can finish a module in a week. Quizzes should take minutes. |
| Language | English, Subtitles: Chinese (Simplified) |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
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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.
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DG
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.