Image data processing with python

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Mathias Hellmich

2:18:52

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1. Introduction

1. Introduction.mp4

01:37

2. Python installation.mp4

01:30

3. Pycharm overview.mp4

03:29

2. Python basics

1. Variables.mp4

01:33

2. Lists.mp4

04:05

3. Numbers and functions.mp4

02:35

4. Loops.mp4

06:27

5. Conditions.mp4

02:48

3. Image basics

1. Color basics.mp4

03:45

2. Color Quiz.html

3. Image basics 1.mp4

04:47

4. Image basics 2.mp4

03:43

5. Creating images.mp4

09:55

6. Creating images Eigenmatrix.html

7. Creating images using loops.mp4

05:25

8. Creating images Loops.html

9. Creating images with color.mp4

07:14

10. Creating Images Color HSV.html

4. Mapping

1. Mapping.mp4

03:29

2. Mapping inverse Map.html

3. Mapping refactor.mp4

03:02

4. Refactor loading image.html

5. More maps.mp4

08:22

6. Mapping more maps.html

7. Refactor maps function.html

8. Histograms.mp4

07:32

9. Mapping own histogram.html

10. Dithering.mp4

07:35

11. Mapping own Dithering.html

12. Mapping for colors.mp4

06:09

13. Color shift.mp4

04:43

14. Mapping Complementary Map.html

15. Dithering Color in HSV.html

5. Filtering

1. Lowpass and highpass.mp4

05:19

2. Filtering Convolution Filter.html

3. More kernels.mp4

03:44

4. Filtering Customizable Convolution Filter.html

5. Median.mp4

02:38

6. Filtering Median Filter.html

7. Derivation.mp4

03:26

8. Filter Histogram Equalisation.html

6. Compression

1. Introduction.mp4

01:02

2. DCT.mp4

04:13

3. DCT compression.mp4

06:29

4. Compression DCT high pass.html

5. DCT highpass.mp4

02:21

6. Compression Save and Compare.html

7. DCT blocks.mp4

05:23

8. Compression Direct compression.html

9. DCT schoolnotes.mp4

04:32

Description

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

Who is this 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

More details

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

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Python

Mathias Hellmich

Instructor's Courses

After studying media technology i went the slightly different path of a full-stack developer creating business applications in various teams for 7 years now. With that i could combine the theoretical aspects of image and audio processing i learned from university with the practical part of the programming. After recreating this knowledge in several different programming languages it is time to share this knowledge on udemy.

Udemy

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