Spline-based neural networks for digital image interpolation

Steven C. Gustafson; Gregory J. Meyer

doi:10.1117/12.420942

4 April 2001 Spline-based neural networks for digital image interpolation

Steven C. Gustafson, Gregory J. Meyer

Proceedings Volume 4305, Applications of Artificial Neural Networks in Image Processing VI; (2001) https://doi.org/10.1117/12.420942
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

Steven C. Gustafson and Gregory J. Meyer "Spline-based neural networks for digital image interpolation", Proc. SPIE 4305, Applications of Artificial Neural Networks in Image Processing VI, (4 April 2001); https://doi.org/10.1117/12.420942

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