A voting-based intra deinterlacing method for directional error correction

This paper presents a voting-based deinterlacing method for directional error correction (VDD), which can reduce wrong edge direction in conventional schemes. The VDD consists of four steps and their corresponding interpolation methods: a Filtered Modified- Edge-based Line Averaging (FM-ELA), a Majo...

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Published in:IEEE transactions on consumer electronics 2010-08, Vol.56 (3), p.1713-1721
Main Authors: Cho, Hye-Jeong, Lee, Yeo-Song, Oh, Sye-Hoon, Oh, Seoung-Jun
Format: Article
Language:English
Subjects:
Complexity
Correlation
Deinterlacing
directional interpolation
DOI
ELA
Electronics
Error correction
Image edge detection
Interpolation
IPTV
M-ELA
Pixel
Pixels
Preserves
Streaming media
Visual
Voting
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cited_by cdi_FETCH-LOGICAL-c323t-e2a189fb0fd9eb3fd8698ea4211762581102c07f6f187d31662778e11547598c3
cites cdi_FETCH-LOGICAL-c323t-e2a189fb0fd9eb3fd8698ea4211762581102c07f6f187d31662778e11547598c3
container_end_page 1721
container_issue 3
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container_title IEEE transactions on consumer electronics
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creator Cho, Hye-Jeong
Lee, Yeo-Song
Oh, Sye-Hoon
Oh, Seoung-Jun
description This paper presents a voting-based deinterlacing method for directional error correction (VDD), which can reduce wrong edge direction in conventional schemes. The VDD consists of four steps and their corresponding interpolation methods: a Filtered Modified- Edge-based Line Averaging (FM-ELA), a Majority Voting based Interpolation (MVI), a Majority voting-based Direction Averaging method (MDA), and the Direction-Oriented Interpolation (DOI). Each step can preserve edge directions and enhance visual quality in high spatial frequency regions through the analysis of local region features. After each missing pixel is categorized into one of three groups, a different deinterlacing technique is applied in order to provide the best result. Although it has a little bit higher complexity than previous methods, VDD can preserve delicate edges compared with previous methods. Experimental results show the improved subjective and objective quality of the reconstructed images.
doi_str_mv 10.1109/TCE.2010.5606317
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source IEEE Electronic Library (IEL) Journals
subjects Complexity
Correlation
Deinterlacing
directional interpolation
DOI
ELA
Electronics
Error correction
Image edge detection
Interpolation
IPTV
M-ELA
Pixel
Pixels
Preserves
Streaming media
Visual
Voting
title A voting-based intra deinterlacing method for directional error correction
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