Vol. 31,  No. 12, pp. 1184-1193, Dec.  2006


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  Abstract

Image interpolation has been widely used and studied in the various fields of image processing. There are many approaches of varying complexity and robustness. In this paper, a new distance weight is proposed for the conventional linear interpolation. In comparison with the conventional linear weight, the new distance weight uses a quadratic or cubic polynomial equation to reflect that the interpolated value should be influenced more by the value of closer pixels in an input image. In this paper, the new adaptive linear (NAL) interpolation, which considers patterns near the interpolated value, is also proposed. This algorithm requires a pattern weight, which is used to determine the ratio of reflection on local patterns, to obtain an interpolated image that exhibits better quality at various magnification factors (MF). In the computer simulation, not only did the NAL interpolation exhibit much lower computational complexity than conventional bicubic interpolation, it also improved peak signal-to-noise ratios (PSNR).

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  Cite this article

[IEEE Style]

T. Kim, Y. Jeon, J. Jeong, "," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 12, pp. 1184-1193, 2006. DOI: .

[ACM Style]

Tae-yang Kim, Yeong-gyun Jeon, and Je-chang Jeong. 2006. . The Journal of Korean Institute of Communications and Information Sciences, 31, 12, (2006), 1184-1193. DOI: .

[KICS Style]

Tae-yang Kim, Yeong-gyun Jeon, Je-chang Jeong, "," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 12, pp. 1184-1193, 12. 2006.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880