Discrete Orthogonal Transforms and Neural Networks for Image Interpolation
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Date
1999-09
Authors
ORCID
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Referee
Mark
Journal Title
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Společnost pro radioelektronické inženýrství
Abstract
In this contribution we present transform and neural network approaches to the interpolation of images. From transform point of view, the principles from [1] 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.
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Citation
Radioengineering. 1999, vol. 8, č. 3, s. 26-29. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/1999/99_03_06.pdf
http://www.radioeng.cz/fulltexts/1999/99_03_06.pdf
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Peer-reviewed
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en