Digital Image Processing

  • Instructor: Heidi Sommer
  • Lectures: 48
  • Students: 1300
  • Duration: 10 weeks

Digital image processing deals with manipulation of digital images through a digital computer. It is a subfield of signals and systems but focus particularly on images. DIP focuses on developing a computer system that is able to perform processing on an image. The input of that system is a digital image and the system process that image using efficient algorithms, and gives an image as an output. The most common example is Adobe Photoshop. It is one of the widely used application for processing digital images.

How it works.

Introduction Image

In the above figure, an image has been captured by a camera and has been sent to a digital system to remove all the other details, and just focus on the water drop by zooming it in such a way that the quality of the image remains the same.

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Signals and systems

Since DIP is a subfield of signals and systems , so it would be good if you already have some knowledge about signals and systems , but it is not necessary. But you must have some basic concepts of digital electronics.

Calculus and probability

Basic understanding of calculus , probability and differential equations is also required for better understanding.

Basic programming skills

Other than this, it requires some of the basic programming skills on any of the popular languages such as C++ , Java , or MATLAB.

Before you start proceeding with this course on Academy Europe, we are assuming that you have a good aptitude and can think logically. You should want to try something different.

Ideal candidates for the course would typically possess:

– Discipline and attentiveness

– Ability to conduct research

– Ability to perform tasks with speed, efficiency, and accuracy

– Analytical judgment

– Patience to interpret technical/scientific data

– A willingness to learn, roll up your sleeves and work toward your dream!

– A computer, tablet or smartphone and an internet connection

– Basic computer skills


This tutorial gives you the knowledge of widely used methods and procedures for interpreting digital images for image enhancement and restoration and performing operations on images such as (blurring , zooming , sharpening , edge detection , e.t.c). It also focuses on the understanding of how the human vision works. How do human eye visualize so many things , and how do brain interpret those images? The tutorial also covers some of the important concepts of signals and systems such as (Sampling , Quantization , Convolution , Frequency domain analysis e.t.c).

This course by Academy Europe aims at imparting quality education and training to students.

Academy Europe is dedicated to its students, their specific learning requirements, and their overall learning success.

This course is directed toward a student-centered, independent study, asynchronous learning approach.

After completing this course on Academy Europe, students will get self improvement  and promotion in their careers.

This course is based on at least two learning skills which are provided  to the users through audio & visuals, videos, verbal presentations and articles, all of which are asynchronized with distance education approach.

  • Digital Image Processing Introduction 0/1

  • Signals and Systems Introduction 0/1

  • History of Photography 0/1

  • Applications and Usage 0/1

  • Concept of Dimensions 0/1

  • Image Formation on Camera 0/1

  • Camera Mechanism 0/1

  • Concept of Pixel 0/1

  • Perspective Transformation 0/1

  • Concept of Bits Per Pixel 0/1

  • Types of Images 0/1

  • Color Codes Conversion 0/1

  • Grayscale to RGB Conversion 0/1

  • Concept of Sampling 0/1

  • Pixel Resolution 0/1

  • Concept of Zooming 0/1

  • Zooming Methods 0/1

  • Spatial Resolution 0/1

  • Pixels, Dots and Lines Per Inch 0/1

  • Gray Level Resolution 0/1

  • Concept of Quantization 0/1

  • ISO preference curves 0/1

  • Concept of Dithering 0/1

  • Histograms Introduction 0/1

  • Brightness and Contrast 0/1

  • Image Transformations 0/1

  • Histogram Sliding 0/1

  • Histogram stretching 0/1

  • Introduction to Probability 0/1

  • Histogram Equalization 0/1

  • Gray Level Transformation 0/1

  • Concept of Convolution 0/1

  • Concept of Mask 0/1

  • Concept of Blurring 0/1

  • Concept of Edge Detection 0/1

  • Prewitt Operator 0/1

  • Sobel Operator 0/1

  • Robinson Compass Mask 0/1

  • Krisch Compass Mask 0/1

  • Laplacian Operator 0/1

  • Introduction to Frequency domain 0/1

  • Fourier Series and Transform 0/1

  • Convolution Theorem 0/1

  • High Pass vs Low Pass Filters 0/1

  • Introduction to Color Spaces 0/1

  • Introduction to JPEG Compression 0/1

  • Optical Character Recognition 0/1

  • Computer Vision and Computer Graphics 0/1

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Heidi Sommer is an artificial intelligence instructor and course content presenter at Academy Europe. She is an expert in instructional design and teaching. She supplements her knowledge in E-learning and Educational Technology by using AI and TTS elements.