Faculty of Technical Sciences

Subject: Digital image processing in animations (17.EK421Z)

Native organizations units: No data
General information:
 
Category Scientific-professional
Scientific or art field Telecommunications and Signal Processing
Interdisciplinary No
ECTS 5
Educational goal:

Mastering the fundamental principles of digital image processing; Understanding of modern methods for image enhancement, restoration, compression, morphological processing and segmentation.

Educational outcome:

Understanding and practical implementation of basic image processing methods. Acquiring capability to implement image processing algorithms, in order to enhance image for the specific application, or for the purpose of noise and degradation removal from the image. Ability to solve simpler problems.

Course content:

Introduction. Concept of image signal and difference between image and digital image. Image enhancement in spatial and frequency domain. Image restoration. Color image processing. Image compression. Morphological image compressing. Image segmentation. Object detection.

Teaching methods:

Lectures. Consultations and discussions. Computer laboratory exercises. Numerical simulations of simpler image processing algorithms. Written assignment on selected topic from digital image processing. Course is attended through standard teaching forms and includes obligatory attendance at lectures and computer laboratory exercises.

Literature:
Authors Title Year Publisher Language
Apurba Das Guide to signals and patterns in image processing 2015 Springer English
Gonzalez, R.C., Woods, R.E. Digital Image Processing (3rd Edition) 2008 Prentice-Hall, Inc., Upper Saddle River English
Wilhelm Burger, Mark Burge Principles of digital image processing 2009 Springer English
Alan Bovik Handbook of image and video processing 2005 Academic Press English
Željen Trpovski Skripta za predmet Digitalna obrada slike u animacijama 2016 Serbian language
Popović, M., Mojsilović, A. Digitalna obrada slike 1996 Nauka, Beograd Serbian language
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Written part of the exam - tasks and theory No Yes 60.00
Test Yes Yes 10.00
Coloquium exam No No 30.00
Presentation Yes Yes 10.00
Coloquium exam No No 30.00
Lecture attendance Yes Yes 5.00
Test Yes Yes 10.00
Laboratory exercise attendance Yes Yes 5.00
Lecturers:
API Image

vanr. prof. dr Brkljač Branko

Associate Professor

Laboratory classes

Asistent Stanojev Vuk

Assistant - Master

Laboratory classes
API Image

vanr. prof. dr Brkljač Branko

Associate Professor

Lectures

Asistent Kljajić Jovana

Assistant - Master

Laboratory classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.