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Proceedings Paper

The Bell-Spline, A Digital Filtering / Interpolation Algorithm
Author(s): Enrico Dolazza
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Paper 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.

Paper Details

Date Published: 25 May 1989
PDF: 16 pages
Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953300
Show Author Affiliations
Enrico Dolazza, Analogic Corporation (United States)


Published in SPIE Proceedings Vol. 1092:
Medical Imaging III: Image Processing
Samuel J. Dwyer; R. Gilbert Jost; Roger H. Schneider, Editor(s)

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