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 (online)
  • 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.

Language:

  • English

Enrollment:

  • Students should enroll in Peppi
  • Enrollment period: 15.12.2021 - 22.03.2022
  • Moodle enrollment key will be sent by email.