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Proceedings Paper

Spline-based neural networks for digital image interpolation
Author(s): Steven C. Gustafson; Gregory J. Meyer
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Paper Abstract

Adaptive spline interpolation (which is equivalent to the use of a type of radial basis function neural network) is investigated for digital image interpolation (i.e., for resolution enhancement). Test image results indicate that adaptive spline interpolation of a low-resolution image is superior to non-adaptive interpolation if the adjustable parameters are chosen to yield the best match to a known object in a corresponding high-resolution image.

Paper Details

Date Published: 4 April 2001
PDF: 6 pages
Proc. SPIE 4305, Applications of Artificial Neural Networks in Image Processing VI, (4 April 2001); doi: 10.1117/12.420942
Show Author Affiliations
Steven C. Gustafson, Air Force Institute of Technology (United States)
Gregory J. Meyer, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 4305:
Applications of Artificial Neural Networks in Image Processing VI
Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

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