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http://dx.doi.org/10.7840/kics.2013.38A.2.164

Multi-Frame-Based Super Resolution Algorithm by Using Motion Vector Normalization and Edge Pattern Analysis  

Kwon, Soon-Chan (광운대학교 전자공학과 디지털 미디어 연구실)
Yoo, Jisang (광운대학교 전자공학과 디지털 미디어 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.38A, no.2, 2013 , pp. 164-173 More about this Journal
Abstract
In this paper, we propose multi-frame based super resolution algorithm by using motion vector normalization and edge pattern analysis. Existing algorithms have constraints of sub-pixel motion and global translation between frames. Thus, applying of algorithms is limited. And single-frame based super resolution algorithm by using discrete wavelet transform which robust to these problems is proposed but it has another problem that quantity of information for interpolation is limited. To solve these problems, we propose motion vector normalization and edge pattern analysis for 2*2 block motion estimation. The experimental results show that the proposed algorithm has better performance than other conventional algorithms.
Keywords
super resolution; interpolation; sub-pixel; motion estimation; kernel regression;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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