Spline-based neural networks for digital image interpolation
Steven C. Gustafson, Gregory J. Meyer · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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.