Image Compression by Gabor Expansion
| dc.contributor.author | Andras, L. | |
| dc.contributor.author | Chmurny, J. | |
| dc.coverage.issue | 2 | cs |
| dc.coverage.volume | 10 | cs |
| dc.date.accessioned | 2016-05-02T12:05:28Z | |
| dc.date.available | 2016-05-02T12:05:28Z | |
| dc.date.issued | 2001-06 | cs |
| dc.description.abstract | Transform-based coding methods are popular in data compression. In the paper, an easily implemented method is proposed for the weighting factors of the Gabor decomposition. The method is based on the least-mean- squares error (LMSE) approach. The solution of the LMSE problem shows that the weighting factors can be extracted by simple multiplication between a matrix and the vector of data. If the set Gabor functions are chosen to be independent of the test images, this matrix is constant. Images are reconstructed by multiplying the matrix of Gabor functions and the vector of weighting factors. The choise of Gabor functions in the decomposition allows that the resulting decomposition has a pyramidal structure. In the paper is proposed simple codec system for pyramidal Gabor expansion for image compression. | en |
| dc.format | text | cs |
| dc.format.extent | 5-8 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Radioengineering. 2001, vol. 10, č. 2, s. 5-8. ISSN 1210-2512 | cs |
| dc.identifier.issn | 1210-2512 | |
| dc.identifier.uri | http://hdl.handle.net/11012/58184 | |
| 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/2001/01_02_05_08.pdf | cs |
| dc.rights | Creative Commons Attribution 3.0 Unported License | en |
| dc.rights.access | openAccess | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en |
| dc.subject | Gabor transform | en |
| dc.subject | Gabor elementary function | en |
| dc.subject | pyra-midal Gabor expansion | en |
| dc.title | Image Compression by Gabor Expansion | en |
| dc.type.driver | article | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.faculty | Fakulta eletrotechniky a komunikačních technologií | cs |
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