DocumentCode
1876079
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
fYear
2002
fDate
18-20 June 2002
Firstpage
70
Lastpage
71
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCE.2002.1013931
Filename
1013931
Link To Document