EPFL | Biomedical Imaging Group

Efficient Image Resizing Using Finite Differences

A. Muñoz Barrutia, T. Blu, M. Unser

Proceedings of the 1999 Sixth 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.

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