Title :
A voting-based intra deinterlacing method for directional error correction
Author :
Oh, Sye-Hoon ; Lee, Yeo-Song ; Oh, Seoung-Jun
Author_Institution :
Varo Vision Co., Ltd., Seoul, South Korea
Abstract :
In this paper, a voting-based intra deinterlacing method for directional error correction (VDD) is proposed, which can reduce false edge direction in conventional schemes. The VDD consists of four steps: modified M-ELA, majority voting, directional averaging and DOI (direction-oriented interpolation). Each step can preserve edge direction and minimize poor visual quality in high spatial frequency regions through the investigation into surrounding regions of various features. Although the VDD has a high complexity, it can extract delicate edges compared to other deinterlacing methods. Simulation results show the improved subjective and objective qualities of the reconstructed images.
Keywords :
edge detection; error correction; feature extraction; image reconstruction; direction-oriented interpolation; directional averaging; directional error correction; edge direction preservation; edge extraction; image reconstruction; majority voting; modified edge-based line average; voting-based intra deinterlacing method; Bandwidth; Displays; Error correction; Frequency; Image quality; Image reconstruction; Interpolation; Q measurement; TV broadcasting; Voting;
Conference_Titel :
Consumer Electronics (ICCE), 2010 Digest of Technical Papers International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-4314-7
Electronic_ISBN :
978-1-4244-4316-1
DOI :
10.1109/ICCE.2010.5418822