PristupačnostPicture Quality in Digital Video Communications
Data is displayed for the academic year: 2025./2026.
Lecturers
Course Description
Digital video communication systems. The influence of compression methods, compression ratio, and frequency content on image quality. Image quality in systems based on the discrete cosine transform and the discrete wavelet transform. The effects of temporal redundancy reduction and applied motion compensation techniques on video quality. Methods for optimizing video encoder operation and managing bit rate and image quality. Application of machine learning and deep learning to coding parameter selection, bit-rate control, distortion reduction, and enhancement of reconstructed image quality. Delay, jitter and loss of synchronization. Error detection, correction and concealment in video signal transmission. Subjective and objective methods for image quality evaluation. Perceptual metrics for image and video quality. Methods for automatic quality assessment based on deep learning.
Study Programmes
Postgraduate doctoral study programme
Literature
Yao Wang, Jörn Ostermann, Ya-Qin Zhang (2002.), Video Processing and Communications, Pearson
David Bull, Fan Zhang (2021.), Intelligent Image and Video Compression, Academic Press
Mário Saldanha, Gustavo Sanchez, César Marcon, Luciano Agostini (2022.), Versatile Video Coding (VVC): Machine Learning and Heuristics, Springer
Abdussalam Elhanashi, Sergio Saponara (2025.), Deep Learning in Action: Image and Video Processing for Practical Use, Elsevier
General
ID 154895
Summer semester
6 ECTS