Research on Registration Algorithm in Super-Resolution Reconstruction of Video Image

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Abstract:

In super-resolution reconstruction, there exists the defect that common template matching costs much memory and time. In this paper, the template matching algorithm is optimized. Firstly, a mathematical model of super-resolution is established. Then, the importance of image registration is discussed in super-resolution reconstruction of video image. Subsequently, the method of template matching for registration is put forward and the specific steps of algorithm are described. At the same time, the defects of template matching algorithm are analyzed. Finally, the algorithm of template matching has been improved to optimize the registration time. The experimental results show that the time used by this algorithm is half of the time used by the original template matching algorithm.

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3718-3721

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] K. Das,S. Osechinskiy and Z. Nenadic: Pro. Medicine and Biology Society (San Jose, California, USA, January 23, 2007). p.6519.

Google Scholar

[2] O. Yamaguchi, K. Fukui, and K. Maeda: Pro. Automatic Face and Gesture Recognition (Nara, Japan, 1998). p.318.

Google Scholar

[3] Z.B. Guo: Research on the Algorithms of Fast Face Detection and Feature Extraction (Ph.D. Nanjing University of Science and Technology, China 2007). p.66.

Google Scholar

[4] J.W. Li,Y. H. Wang and T.N. Tan: Pro. the 5th Chinese Conference on Biometric Recognition (Guangzhou, China, 2004). p.224.

Google Scholar

[5] M. Nishiyama, O. Yamaguchi and K. Fukui: Pro. Audio- and Video-Based Biometric Person Authentication (NewYork, USA, 2005). pp.71-78.

Google Scholar

[6] L.H. Zhao: Research and Realization in Face Detection and Recognition Algorithms (Ph.D. Northeastern University, China 2006). p.32.

Google Scholar

[7] W.F. Zhao: Research on Feature Extraction Methods for Face Recognition (Ph.D. Zhejiang University, China 2009). p.56.

Google Scholar