Image and video processing techniques Field of study: Computer Science
Programme code: W4-S2IN19.2020

Module name: Image and video processing techniques
Module code: W4-IN-S2-20-F-TPOiV
Programme code: W4-S2IN19.2020
Semester:
  • summer semester 2021/2022
  • winter semester 2021/2022
  • summer semester 2020/2021
Language of instruction: Polish
Form of verification: course work
ECTS credits: 4
Description:
The purpose of the module is to introduce the listener with modern image and video processing techniques and compression standards.
Prerequisites:
(no information given)
Key reading:
J.C.Russ, F.B. Neal, Image Processing Handbook, CRC Press, 2016 A. Bovik, The Essential Guide to Video Processing, Academic Press, 2009, A. Majumdar, Compressed Sensing for Engineers, CRC Press, 2020 A. Kaehler, G. Bradski, Learning OpenCV3, O'Reilly, 2017
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
Has knowledge of image and video processing. [M_001]
 K_W01 [1/5] K_W02 [1/5]
Is able to implement selected algorithms in the field of image and video processing. [M_002]
 K_U01 [1/5] K_U02 [1/5] K_U03 [1/5] K_U04 [1/5] K_U06 [1/5] K_U09 [1/5]
Is able to assess and compare the effectiveness of various algorithms for a given problem. [M_003]
 K_U01 [2/5] K_U06 [2/5] K_K01 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Written exam [W_001]
Knowledge verification based on the content presented in the lecture. The exam consists of open questions from theory.
 M_001 M_003
Examination [W_002]
Presentation of the implementation of the algorithms from the classes and one independently implemented.
 M_002 M_003
Form of teaching Student's own work Assessment of the learning outcomes
Type Description (including teaching methods) Number of hours Description Number of hours
lecture [Z_001]
Transferring the content of education in verbal (or e-learning) form using audiovisual and other teaching aids.
 15
Preparation for the exam.
 15 Written exam [W_001]
laboratory classes [Z_002]
Preparing students for independent implementation of selected algorithms.
 30
Implementing selected algorithms in the programming language of your choice.
 60 Examination [W_002]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)