An Image Interpolation Method using an Improved Least Square Estimation 


Vol. 29,  No. 10, pp. 1425-1432, Oct.  2004


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  Abstract

Because of the high performance with the edge regions, the existing LSE(Least Square Estimation) method provides much better results than other methods. However, since It emphasizes not only edge components but also noise components, some part of interpolated images looks like unnatural It also requires very high computational complexity and memory for implementation. We propose a new LSE interpolation method which requires much lower complexity and memory, but provides better performance than the existing method. To reduce the computational complexity, we propose and adopt a simple sample window and a direction detector to reduce the size of memory without blurring image To prevent from emphasizing noise components, the bi-linear interpolation method is added m the LSE formula. The simulation results show that the proposed method provides better subjective and objective performance With lower complexity than the existing method.

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  Cite this article

[IEEE Style]

D. Lee and S. Na, "An Image Interpolation Method using an Improved Least Square Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 10, pp. 1425-1432, 2004. DOI: .

[ACM Style]

Dong-Ho Lee and Seung-Jae Na. 2004. An Image Interpolation Method using an Improved Least Square Estimation. The Journal of Korean Institute of Communications and Information Sciences, 29, 10, (2004), 1425-1432. DOI: .

[KICS Style]

Dong-Ho Lee and Seung-Jae Na, "An Image Interpolation Method using an Improved Least Square Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 10, pp. 1425-1432, 10. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880