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.
2 - Inpainting in Nature - Duration 05:01
Skills You'll Learn
Image Processing, Image Compression, Image Restoration, Image Segmentation
Reviews
This is an excellent course for understanding a lot of details on Image Processing. After this course, the more you apply the techniques learned, the more you make progress in the research field.
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.
Students will get involved with a very exciting topic, since image and video inpainting is one of the most used tools in the movie industry. They will learn the problem, and also how they can approach it from multiple directions. This will also help to illustrate how the same problem can be approached from multiple mathematical angles. We will connect this with Shanon’s work providing yet another angle. If you watched the lectures on PDEs you will have more mathematical background, but you will enjoy this unit and learn without it as well.
Taught By
Guillermo Sapiro
Professor
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