521467A:2 Digital Image Processing, Spring 2021

Contents:

  1. Fundamentals of digital images
  2. Image enhancement in spatial and frequency domains
  3. Image restoration
  4. Color image processing
  5. Wavelets
  6. Image compression
  7. Morphological image processing
  8. Image segmentation.

Learning activities and teaching methods:

  • Lectures
  • Exercises
  • Homework assignments (Python & Jupyter notebooks)

Schedule:

Spring 2021 (period 4).

Assessment methods and criteria:

The course is passed with final exam and accepted homework assignments.

Grading:

Exam (2/3) and homework assignments (1/3).

Prerequisites:

  • Basic studies of mathematics (Matrix Algebra and Signal Analysis)
  • Basic Python programming skills.

Registration:

Registration and full description in WebOodi.