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Abstract: We present an optimal spline-based algorithm for the enlargement or reduction of digital images with arbitrary (noninteger) scaling factors. This projection-based approach can be realized thanks to a new finite difference method that allows the computation of inner products with analysis functions that are B-splines of any degree . A noteworthy property of the algorithm is that the computational complexity per pixel does not depend on the scaling factor . For a given choice of basis functions,... (Update)
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BibTeX entry: (Update)
@misc{ oz-leastsquares,
author = "Arrate Muñoz and Thierry Blu and Michael Unser",
title = "Least-Squares Image Resizing Using Finite Differences",
url = "citeseer.ist.psu.edu/490707.html" }
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