Dissertation Topic

Image and video quality assessment

Academic Year: 2024/2025

Supervisor: Čadík Martin, doc. Ing., Ph.D.

Department: Department of Computer Graphics and Multimedia

Programs:
Information Technology (DIT) - full-time study
Information Technology (DIT) - combined study
Information Technology (DIT-EN) - full-time study
Information Technology (DIT-EN) - combined study

The project deals with image and video quality assessment metrics (IQM). The aim is to explore new ways how to incorporate human visual system properties into IQM. In particular, we will consider perception of HDR images, and utilization of additional knowledge (in form of metadata, 3D information, etc.) about the tested scenes using machine learning (e.g. neural networks).

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