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Application for deinterlacing method using edge direction classification and fuzzy inference system

Title
Application for deinterlacing method using edge direction classification and fuzzy inference system
Author
정제창
Keywords
Video deinterlacing; Filter; Fuzzy if-then rule; Resolution enhancement
Issue Date
2012-07
Publisher
Springer US
Citation
Multimedia tools and applications, 2012, 59(1), P.149-168
Abstract
In this paper, we propose an advanced deinterlacing method which uses filters to estimate the edge direction using luminance information. Subsequently, we are able to obtain the luminance values at for missing pixels. The fuzzy logic concept for image processing is discussed with regard to fuzzy membership function representation and fuzzy inference procedures. The fuzzy if-then rules are employed to conduct the determining edge direction. The use of a different membership function for different direction enables the filter to independently characterize separate influences on pixel variation. Simulation results demonstrate that the proposed method has an enhanced performance, both visually and in terms of the peak signal-to-noise ratio, compared with those of conventional deinterlacing methods.
URI
https://link.springer.com/article/10.1007%2Fs11042-010-0694-9https://repository.hanyang.ac.kr/handle/20.500.11754/73058
ISSN
1380-7501; 1573-7721
DOI
10.1007/s11042-010-0694-9
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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