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.
8 - Demo - Wiener and Box filters - Duration 03:19
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Compétences que vous apprendrez
Image Processing, Image Compression, Image Restoration, Image Segmentation
Avis
MK
Oct 14, 2018
A very nice covering of subject from basics to advance level of image processing. A good insight into theory and implementation of the Image processing algorithms.
SM
Oct 12, 2019
I am right now half way through this course. The course is excellent and they way the content is presented by Professor Guillermo Sapiro is really enlightening.
À partir de la leçon
Image restoration
The goal of this unit is to complement Unit 3 by adding prior information about the sources of degradation. Students will learn that if we know about the degradation process, we can do better. The objective of this unit is to complete the training with basic and powerful classical tools.
Enseigné par
Guillermo Sapiro
Professor