An adaptive cubic convolution scaler to the local information property 


Vol. 27,  No. 5, pp. 404-413, May  2002


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  Abstract

The purpose of this paper is to derive an adaptive version of cubic convolution interpolation for the enlargement or reduction of digital images by arbitrary scaling factors. The adaptation is performed in each subblock (typically L×L rectangular) of an image. It consists of three phases: two scaling procedures (i.e., forward and backward interpolation) and an optimization of interpolation kernel. In forward interpolation phase, from the sampled data with original resolution, we generate the scaled data with different (higher or lower) resolution. And, the backward interpolation produces the new discrete data by applying another interpolation on the scaled one. The phases are based on cubic convolution interpolation whose kernel is modified to adapt local propet1ies of the data. During the optimization phase, we modify the parameter value to decrease the disparity between the original data and those made by another interpolating on the different resolution output of the forward interpolating phase. The overall process is repeated iteratively.

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  Cite this article

[IEEE Style]

J. Han, "An adaptive cubic convolution scaler to the local information property," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 5, pp. 404-413, 2002. DOI: .

[ACM Style]

Jong-Ki Han. 2002. An adaptive cubic convolution scaler to the local information property. The Journal of Korean Institute of Communications and Information Sciences, 27, 5, (2002), 404-413. DOI: .

[KICS Style]

Jong-Ki Han, "An adaptive cubic convolution scaler to the local information property," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 5, pp. 404-413, 5. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880