dc.contributor.author | Oravec, M. | |
dc.contributor.author | Polec, J. | |
dc.date.accessioned | 2016-05-03T10:52:47Z | |
dc.date.available | 2016-05-03T10:52:47Z | |
dc.date.issued | 1999-09 | cs |
dc.identifier.citation | Radioengineering. 1999, vol. 8, č. 3, s. 26-29. ISSN 1210-2512 | cs |
dc.identifier.issn | 1210-2512 | |
dc.identifier.uri | http://hdl.handle.net/11012/58275 | |
dc.description.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. | en |
dc.format | text | cs |
dc.format.extent | 26-29 | cs |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | cs |
dc.publisher | Společnost pro radioelektronické inženýrství | cs |
dc.relation.ispartof | Radioengineering | cs |
dc.relation.uri | http://www.radioeng.cz/fulltexts/1999/99_03_06.pdf | cs |
dc.rights | Creative Commons Attribution 3.0 Unported License | en |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en |
dc.subject | interpolation | en |
dc.subject | discrete orthogonal transform | en |
dc.subject | multilayer perceptron | en |
dc.title | Discrete Orthogonal Transforms and Neural Networks for Image Interpolation | en |
eprints.affiliatedInstitution.faculty | Fakulta eletrotechniky a komunikačních technologií | cs |
dc.coverage.issue | 3 | cs |
dc.coverage.volume | 8 | cs |
dc.rights.access | openAccess | en |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |