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Near Optimal Geometric Image Scaling Using Oblique Projection Operators

C. Lee, M. Eden, M. Unser

Proceedings of the Twenty-First IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'96), Atlanta GA, USA, May 7-9, 1996, vol. IV, pp. 2399-2402.

In this paper, we propose to re-size images using an oblique projection operator instead of the orthogonal one in order to obtain faster, simpler, and more general algorithms. The main advantage is that it becomes perfectly feasible to use higher order models (e.g., splines of degree n≥3). We develop the theoretical background and present a simple and practical implementation procedure that uses B-splines. Experiments show that the proposed algorithm consistently outperforms the standard interpolation method and that it essentially provides the same performance as the optimal procedure (least squares solution) with considerably less computations.

AUTHOR="Lee, C. and Eden, M. and Unser, M.",
TITLE="Near Optimal Geometric Image Scaling Using Oblique Projection
BOOKTITLE="Proceedings of the Twenty-First {IEEE} International
        Conference on Acoustics, Speech, and Signal Processing
address="Atlanta GA, USA",
month="May 7-9,",

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