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http://dx.doi.org/10.6109/jkiice.2013.17.7.1672

Hybrid Super-Resolution Algorithm Robust to Cut-Change  

Kwon, Soon-Chan (Department of Electronic Engineering, Kwangwoon University)
Lim, Jong-Myeong (Department of Electronic Engineering, Kwangwoon University)
Yoo, Jisang (Department of Electronic Engineering, Kwangwoon University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.7, 2013 , pp. 1672-1686 More about this Journal
Abstract
In this paper, we propose a hybrid super-resolution algorithm robust to cut-change. Existing single-frame based super-resolution algorithms are usually fast, but quantity of information for interpolation is limited. Although the existing multi-frame based super-resolution algorithms generally robust to this problem, the performance of algorithm strongly depends on motions of input video. Furthemore at boundary of cut, applying of the algorithm is limited. In the proposed method, we detect a define boundary of cut using cut-detection algorithm. Then we adaptively apply a single-frame based super-resolution method to detected cut. Additionally, we propose algorithms of normalizing motion vector and analyzing pattern of edge to solve various problems of existing super-resolution algorithms. The experimental results show that the proposed algorithm has better performance than other conventional interpolation methods.
Keywords
interpolation; super-resolution; sub-pixel; motion estimation; discrete wavelet transform;
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Times Cited By KSCI : 5  (Citation Analysis)
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