Image data processing with python

Image data processing with python, available at $19.99, has an average rating of 5, with 31 lectures, 1 quizzes, based on 3 reviews, and has 9 subscribers.

You will learn about python basics for working with images color space basics creation, mapping and filtering of images using python basics of image compression This course is ideal for individuals who are Students (e.g Mediatechnology, IT, Design), who want hands on practical approaches or Beginner python developers curious about data science or Image processing enthusiasts or Color space fanatics It is particularly useful for Students (e.g Mediatechnology, IT, Design), who want hands on practical approaches or Beginner python developers curious about data science or Image processing enthusiasts or Color space fanatics.

Enroll now: Image data processing with python

Summary

Title: Image data processing with python

Price: $19.99

Average Rating: 5

Number of Lectures: 31

Number of Quizzes: 1

Number of Published Lectures: 31

Number of Published Quizzes: 1

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will Learn

python basics for working with images
color space basics
creation, mapping and filtering of images using python
basics of image compression

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Python installation

Lecture 3: Pycharm overview

Chapter 2: Python basics

Lecture 1: Variables

Lecture 2: Lists

Lecture 3: Numbers and functions

Lecture 4: Loops

Lecture 5: Conditions

Chapter 3: Image basics

Lecture 1: Color basics

Lecture 2: Image basics 1

Lecture 3: Image basics 2

Lecture 4: Creating images

Lecture 5: Creating images using loops

Lecture 6: Creating images with color

Chapter 4: Mapping

Lecture 1: Mapping

Lecture 2: Mapping refactor

Lecture 3: More maps

Lecture 4: Histograms

Lecture 5: Dithering

Lecture 6: Mapping for colors

Lecture 7: Color shift

Chapter 5: Filtering

Lecture 1: Lowpass and highpass

Lecture 2: More kernels

Lecture 3: Median

Lecture 4: Derivation

Chapter 6: Compression

Lecture 1: Introduction

Lecture 2: DCT

Lecture 3: DCT compression

Lecture 4: DCT highpass

Lecture 5: DCT blocks

Lecture 6: DCT schoolnotes

Instructors

Mathias Hellmich
Applied data science instructor

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 0 votes
5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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