Discrete Orthogonal Transforms and Neural Networks for Image Interpolation
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In this contribution we present transform and neural network approaches to the interpolation of images. From transform point of view, the principles from  are modified for 1st and 2nd order interpolation. We present several new interpolation discrete orthogonal transforms. From neural network point of view, we present interpolation possibilities of multilayer perceptrons. We use various configurations of neural networks for 1st and 2nd order interpolation. The results are compared by means of tables.
Document typePeer reviewed
Document versionFinal PDF
SourceRadioengineering. 1999, vol. 8, č. 3, s. 26-29. ISSN 1210-2512
- 1999/3