Title :
De-interlacing of video data using motion vectors and edge information
Author :
de Haan, Gerard ; Lodder, R.
Author_Institution :
Philips Res. Lab., Eindhoven, Netherlands
Abstract :
EDDI (edge dependent de-interlacing) is a new method for effectively removing jagged edges from interlaced video. It detects and quantifies edges for optimal image interpolation, with applications in high-end as well as in economy de-interlacing.
Keywords :
edge detection; interpolation; optimisation; video signal processing; economy de-interlacing; edge dependent de-interlacing; edge information; interlaced video; jagged edges removal; motion vectors; optimal image interpolation; vertical-temporal median filter; video data de-interlacing; Detectors; Focusing; Image edge detection; Interpolation; Laboratories; Low pass filters; Motion estimation; Pixel; Robustness; TV;
Conference_Titel :
Consumer Electronics, 2002. ICCE. 2002 Digest of Technical Papers. International Conference on
Conference_Location :
Los Angeles, CA, USA
Print_ISBN :
0-7803-7300-6
DOI :
10.1109/ICCE.2002.1013931