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Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 lectures (2h 18m) | Size: 1 GB
Learn how digital images can be altered or compressed using python for a practical understanding.
What you'll learn
python basics for working with images
color space basics
creation, mapping and filtering of images using python
basics of image compression
Requirements
No programming skills necessary. Any programming languages are useful and recommended though.
Description
Overview
This course teaches you how images are created and processed in the digital space. Important underlying theoretical aspects are shown, which are also known from university. Those usually fall short when trying to get a practical grasp of it. Therefor in this course we will focus on a hands on understanding by using the scripting language python to show how the processing can be realized programatically.
At the end of the course you will understand the core concepts of how image processing is applied in widely used apps and you will have programmed some of them yourselves. You will also gain a foundational understanding of why images are structured the way they are and what role the color plays in the representation.
What you will learn
python basics important for image processing
color and color models
creating, filtering and mapping images
compression basics of images
Who this course is for
This course is for everyone who wants to have a practical approach on image data processing. It should be very helpful for students studying IT, media technology, fotography or similar topics.
About the programming
This course uses python as programming language. It is helpful if you know python or other languages of course, but not necessary, since the core concepts are explained along the way. Keep in mind though, that we focus on the basics of python we need for the image processing, so the course will only cover so much. There are many other courses out there for a more complete understanding of python.
Who this course is for
Students (e.g Mediatechnology, IT, Design), who want hands on practical approaches
Beginner python developers curious about data science
Image processing enthusiasts
Color space fanatics
Who this course is for
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