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


Vol. 38,  No. 2, pp. 164-173, Feb.  2013


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  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.

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  Cite this article

[IEEE Style]

S. Kwon and J. Yoo, "Multi-Frame-Based Super Resolution Algorithm by Using Motion Vector Normalization and Edge Pattern Analysis," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 2, pp. 164-173, 2013. DOI: .

[ACM Style]

Soon-chan Kwon and Jisang Yoo. 2013. Multi-Frame-Based Super Resolution Algorithm by Using Motion Vector Normalization and Edge Pattern Analysis. The Journal of Korean Institute of Communications and Information Sciences, 38, 2, (2013), 164-173. DOI: .

[KICS Style]

Soon-chan Kwon and Jisang Yoo, "Multi-Frame-Based Super Resolution Algorithm by Using Motion Vector Normalization and Edge Pattern Analysis," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 2, pp. 164-173, 2. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880