Project Abstract

Deinterlacing has seen widespread usage in recent decades, becoming commonplace in high-definition televisions, broadcasting and video capture software. Many implementations exist, from simple line doublers to more complex algorithms implementing scene change detection or those based on machine learning. My project aims to explore the different implementations of deinterlacers, research various common techniques and implement my own real-time deinterlacer, with the aim of producing high-quality video output for real-time scenarios such as live television or internet streaming.

Keywords: image processing, deinterlacing, video

 Conference Details

Session: Poster Session B at Poster Stand 3

Location: Sir Stanley Clarke Auditorium at Wednesday 8th 09:00 – 12:30

Markers: Thomas Reitmaier, Scott Yang Yang

Course: BSc Software Engineering, 3rd Year

Future Plans: I’m looking for work