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Efficient Image Resizing Using Finite Differences

A. Muñoz Barrutia, T. Blu, M. Unser

Proceedings of the 1999 IEEE International Conference on Image Processing (ICIP'99), 神戸市 (Kobe), Japan, October 25-28, 1999, vol. III, pp. 662-666.

We present an optimal spline-based algorithm for the enlargement or reduction of digital images with arbitrary scaling factors. A demonstration is available on the web at http://bigwww.epfl.ch/demo/jresize/. This projection-based approach is realizable thanks to a new finite difference method that allows the computation of inner products with analysis functions that are B-splines of any degree n. For a given choice of basis functions, the results of our method are consistently better that those of the standard interpolation procedure; the present scheme achieves a reduction of artifacts such as aliasing and blocking and a significant improvement of the signal-to-noise ratio.

AUTHOR="Mu{\~{n}}oz Barrutia, A. and Blu, T. and Unser, M.",
TITLE="Efficient Image Resizing Using Finite Differences",
BOOKTITLE="Proceedings of the 1999 {IEEE} International Conference
        on Image Processing ({ICIP'99})",
address="Kobe, Japan",
month="October 25-28,",

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