The virtual course "Fundamentals of Digital Image and Video Processing - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 36 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
In this class you will learn the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial and scientific interest.
Digital images and videos are everywhere these days, in thousands of scientific (eg, astronomical, biomedical), consumer, industrial, and artistic applications.
Additionally, they are found across a wide range of the electromagnetic spectrum, from visible light and infrared to gamma rays and beyond.
Therefore, the ability to process image and video signals is an incredibly important skill for engineering/science students, software developers, and practicing scientists.
Digital image and video processing continues to enable the revolution in multimedia technology that we are experiencing today.
Some important examples of image and video processing include removing image degradation during acquisition (eg.
ex.
, remove blur from a fast-moving car image) and image and video compression and transmission (if you watch videos online or share photos via a social networking website, you use it every day!) , for economical storage and efficient transmission.
This course will cover the fundamentals of image and video processing.
We will provide a mathematical framework for describing and analyzing images and videos as two-dimensional and three-dimensional signals in the spatial, space-time, and frequency domains.
In this class, you will not only learn the theory behind fundamental processing tasks, including image/video enhancement, retrieval, and compression, but you will also learn how to perform these key processing tasks in practice using state-of-the-art techniques and tools. generation.
We will introduce and use a wide variety of such tools, from optimization toolboxes to statistical techniques.
The special role that scarcity plays in modern image and video processing will also be emphasized.
In all cases, example images and videos from specific application domains will be used.
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Northwestern University
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