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Cubic convolution interpolation for digital image processing (1981)
| Venue: | IEEE Trans. Acoust., Speech, Signal Process |
| Citations: | 368 - 0 self |
BibTeX
@ARTICLE{Keys81cubicconvolution,
author = {Robert G. Keys},
title = {Cubic convolution interpolation for digital image processing},
journal = {IEEE Trans. Acoust., Speech, Signal Process},
year = {1981},
pages = {1153--1160}
}
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Abstract
Absfrucf-Cubic convolution interpolation is a new technique for resampling discrete data. It has a number of desirable features which make it useful for image processing. The technique can be performed efficiently on a digital computer. The cubic convolution interpolation function converges uniformly to the function being interpolated as the sampling increment approaches zero, With the appropriate boundary conditions and constraints on the interpolation kernel, it can be shown that the order of accuracy of the cubic convolution method is between that of linear interpolation and that of cubic splines. A one-dimensional interpolation function is derived in this paper. A separable extension of this algorithm to two dimensions is applied to image data. I
Keyphrases
digital image processing cubic convolution interpolation new technique digital computer interpolation kernel image processing one-dimensional interpolation function cubic spline cubic convolution interpolation function cubic convolution method appropriate boundary condition absfrucf-cubic convolution interpolation discrete data separable extension desirable feature image data increment approach linear interpolation
