Skip to content
UdemyArduinoPaid courseAll LevelsCertificate

Python Digital Image Processing From Ground Up™ (Udemy.com)

Image Processing : Edge-Detection Algorithms , Convolution, Filter Design, Gray-Level Transformation, Histograms etc.

Created by: Israel Gbati

Last updated September 2021

icon
What you will learn

  • Be able to suppress noise in images
  • Be able to develop the 2-D Convolution algorithm in Python
  • Apply Edge-Detection Operators like Laplacian, Sobel, Prewitt, Robinson etc. on Images
  • Be able to develop Spatial Filtering Algorithms in Python
  • Be able to compute an Image Histogram and Equalize it in Python
  • Understand all about operators such as Laplacian, Sobel, Prewitt, Robinson etc.
  • Be able to perform Image Processing using Python's Imaging Library
  • Be able to perform Image Processing using SKImage
  • Be able to perform Arithmetic and Boolean Operations like Addition, Subtraction, AND, OR etc. on images
  • Be able to perform Image Enhancement Techniques such as Blurring and Sepia using Python
  • Be able to give a lecture on Digital Image Processing

How it compares

Against the other 295 rated Udemy courses in Arduino on CourseDuck:

  • Rating4.3 out of 5higher than 36% of them
  • Reviews605#55 of 296 by number of reviews
  • Length5 hoursshorter than 50% of them
  • Last updatedSeptember 2021earlier than 70% of them

icon
Course Description

With a programming based approach, this course is designed to give you a solid foundation in the most useful aspects of Image Processing in an engaging and easy to follow way. The goal of this course is to present practical techniques while avoiding  obstacles of abstract mathematical theories. To achieve this goal, the image processing techniques are explained in plain language, not simply proven to be true through mathematical derivations.

Still keeping it simple, this course comes in different programming languages so that students can put the techniques to practice using a programming language of their choice. This version of the course uses the Python programming language.


By the end of the course you should be able to perform 2-D Discrete Convolution with images in python, perform Edge-Detection in python , perform Spatial Filtering in python, compute an Image Histogram and Equalize it in python,  perform  Gray Level Transformations, suppress noise in images, understand all about operators such as Laplacian, Sobel, Prewitt, Robinson, even give a lecture on image processing and more. Please take a look at the full course curriculum.

REMEMBER : I have no doubt you will love this course. Also it comes with a  FULL money back guarantee for 30 days!  So put simply, you really have nothing to loose and everything to gain.

Sign up and lets start manipulating some pixels.

icon
Udemy Discount

The discount is applied through our link. Open the course from here and Udemy's current promotional price is applied at checkout on most courses, no code to type.

Some courses are excluded from Udemy's promotions. If the price does not drop, clear your browser cookies and use the button again.

icon
Instructor Details

Israel Gbati

Author of Bare-Metal Embedded C Programming: Develop High-Performance Embedded Systems with C for Arm Microcontrollers.

With extensive experience in embedded firmware development, I specialize in real-time systems, low-level programming, medical device architecture, embedded signal processing, and embedded AI. My professional journey has been centered around Arm Cortex-Microcontrollers, delivering robust solutions used in cutting-edge industries.

Passionate about simplifying complex concepts.

icon
More courses by Israel Gbati

$99.99

$10.99

$74.99

$69.99

Free

Free

icon
More Arduino courses

Free

$74.99

$89.99

$69.99

$79.99

$159.99

icon
Reviews

4.3

605 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Luca Bortoloni on 5/13/2026

Il corso introduce bene alcuni concetti base di elaborazione delle immagini. Sarebbe stato opportuno usare caratteri dell’editor di una dimensione maggiore per una migliore leggibilità dei codici Python. Alcuni aspetti sono stati trattati un po’ velocemente. Nel complesso, sono comunque contento di aver seguito questo corso come introduzione all’argomento.

By Tanausu Ramirez on 11/14/2022

As a practical course it's ok, although It can be improved explaining more specific uses of each filter and technique or using more practical real cases. Also, I don't understant the section 12 about Raspberri Py while some content seems missong or not covered like "Be able to perform Image Enhancement Techniques such as Blurring and Sepia using Python".

By Vartika Agarwal on 7/9/2021

This course was very useful as a beginner. In-depth learning experience in simple language

By José Lema C on 6/23/2020

muy clara la explicación de como importar las librerias y como instalar python, lo intenté por mi cuenta sin exito aparente, pero acá ya me quedaron claras varias cosas. los conceptos básicos para empezar a abordar el tema del procesamiento de imágenes ha sido muy bueno. PERO los videos de aplicación especialmente al final, están desactualizados, la versión actual de Python no tiene unos comandos que se utilizaron en esta clase por lo tanto no todo es aplicable. y otro pero que noté es que hay comentarios de hace mas de 3 meses que no han respondido, por lo tanto es un poco decepcionante al final. La teoria es buena, muy básica, pero asi lo prometieron.

By Anonymized User on 4/26/2020

Yes, it's very good in general so far. The only challenge is that sometimes it's tricky to translate the setup instructions from windows to my Mac. I haven't gotten completely stuck, but it took me a while to figure some of that out. Separate instructions for Mac would have been very helpful and allowed me to spend more time on what I actually want to learn.

By Ritwik Saha on 4/7/2020

It was a great match for me. I have started working on my own image processing project after completing my training. Many thanks to the trainer.

By Iniyavel S on 1/31/2020

The instructor packs all the necessary information in the shortest possible time. I paused all the videos and took notes in order to retain all the information. This will certainly come in handy when I look for a job. This course is very valuable. Thank you very much Mr. Israel Gbati. -I.

By Gaurav Verma on 10/1/2019

Its good going till now. I wish if the codes were displayed without using the inbuilt libraries function.

By Mohit Jagdale on 7/2/2019

Its a nice preliminary course. The only thing I will recommend is that the syntax used in each program could have been explained in more detail.

By Alex He on 4/3/2019

It was a good match. I am very new to image processing and I was looking for a course that takes it from the ground up. I would like to see more "in depth" on the equations as well more examples during the theory-part. Maybe show an picture of each stage in a explanation.

Showing all 10 reviews on CourseDuck

Read all 605 reviews on Udemy

icon
Quality Score

No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 86 / 100