Digital Image Processing (DIP) - 10636318
Course Title
Digital Image Processing (DIP)
Course Number
Instructor Name
Anas Toma
Contact Information
[email protected]
Semester(s) and academic year(s)
Summer Semester 2021
Second Semester 2021
Summer Semester 2020
Second Semester 2020
First Semester 2020
First Semester 2019
Compulsory / Elective
Course Description
  • Introduction to digital image processing
    • Definition, origins, applicaitons, fundamental steps and components
  • Digital image fundamentals
    • Visual perception, sampling and quantization, and light spectrum
  • Image enhancement in the spatial domain
    • Intensity transformation functions, histogram processing, and spatial filtering
  • Image enhancement in the frequency domain
    • Transformation, representation and filtering in the frequency domain 
  • Color image processing
    • Fundamentals, models, transformation and processing in color images
  • Image compression
    • Fundamentals, coding and compression techniques 
  • Morphological image processing
    • Preliminaries, erosion, dilation, opening, closing, and basic morphological algorithms
  • Image Segmentation
    • Compoenents detection, thresholding, and region segmentation
  • Representation and Description
    • Descriptors and feature extraction
  • Introduction to object recognition
Course Objectives

This course provides a fundamental understanding of digital image processing techniques, including image enhancement, coding, and image analysis.

Intended learning Outcomes and Competences

At the end of this course, students should be able to:

  • Know the fundamentals of digital image
  • Understand and design enhancement filters in special and frequency domain
  • Know the concepts of color image processing
  • Explain the concepts of image compression algorithms
  • Perform morphological image processing
  • Explain the concepts of image representation and recognition
Textbook and References

Textbook: Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing, 4th edition, Pearson Education Limited, 2017, ISBN-10: 1-292-22304-9
Libraryies and tools:

Assessment Criteria
Activity Percent (%)
Midterm exam 30%
Project/ Homework 20%
Activities 10%
Final exam 40%