The Bell-Spline, A Digital Filtering / Interpolation Algorithm

Enrico Dolazza

doi:10.1117/12.953300

25 May 1989 The Bell-Spline, A Digital Filtering / Interpolation Algorithm

Enrico Dolazza

Proceedings Volume 1092, Medical Imaging III: Image Processing; (1989) https://doi.org/10.1117/12.953300
Event: Medical Imaging III, 1989, Newport Beach, CA, United States

Abstract

The paper describes and analyzes the Bell-Spline, a new algorithm that performs combined filtering and interpolation of a digital data set. In Digital Image Processing, the Bell-Spline algorithm can be effectively used to magnify or demagnify images of any integer or non-integer factor. Because of its inherent capability to filter the spatial frequencies of the image being interpolated, the algorithm can be tuned so as to prevent apparent loss of dynamic contrast of highly magnified images, or so as to minimize spatial aliasing of images that are demagnified or magnified by a small non-integer factor. The Bell-Spline algorithm performs the combined filtering and interpolation of an original two-dimensional pixel array with few operations per interpolated pixel. It is therefore suitable, and in fact has been used, for real-time image processing applications.

Citation Download Citation

Enrico Dolazza "The Bell-Spline, A Digital Filtering / Interpolation Algorithm", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); https://doi.org/10.1117/12.953300

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