Super-Resolution Algorithm by Motion Estimation with Sub-Pixel Accuracy using 6-Tap FIR Filter 


Vol. 37,  No. 6, pp. 464-472, Jun.  2012


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  Abstract

In this paper, we propose a new super-resolution algorithm that uses successive frames by applying the block matching motion estimation algorithm. Usually, single frame super-resolution algorithms are based on probability or discrete wavelet transform (DWT) approach to extract high-frequency components of the input image, but only limited information is available for these algorithms. To solve this problem, various multiple-frame based super-resolution algorithms are proposed. The accuracy of registration between frames is a very important factor for the good performance of an algorithm. We therefore propose an algorithm using 6-Tap FIR filter to increase the accuracy of the image registration with sub-pixel unit. Proposed algorithm shows better performance than other conventional interpolation based algorithms such as nearest neighborhood, bi-linear and bi-cubic methods and results in about the same image quality as DWT based super-resolution algorithm.

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  Cite this article

[IEEE Style]

S. Kwon and J. Yoo, "Super-Resolution Algorithm by Motion Estimation with Sub-Pixel Accuracy using 6-Tap FIR Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 6, pp. 464-472, 2012. DOI: .

[ACM Style]

Soon-chan Kwon and Jisang Yoo. 2012. Super-Resolution Algorithm by Motion Estimation with Sub-Pixel Accuracy using 6-Tap FIR Filter. The Journal of Korean Institute of Communications and Information Sciences, 37, 6, (2012), 464-472. DOI: .

[KICS Style]

Soon-chan Kwon and Jisang Yoo, "Super-Resolution Algorithm by Motion Estimation with Sub-Pixel Accuracy using 6-Tap FIR Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 6, pp. 464-472, 6. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880