Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Westenberg, Michael A. | |
dc.contributor.author | Ertl, Thomas | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2013-03-07T07:41:33Z | |
dc.date.available | 2013-03-07T07:41:33Z | |
dc.date.issued | 2005 | |
dc.identifier.citation | Journal of WSCG. 2005, vol. 13, no. 1, p. 33-40. | en |
dc.identifier.issn | 1213–6964 (online) | |
dc.identifier.issn | 1213–6980 (CD-ROM) | |
dc.identifier.issn | 1213–6972 (hardcover) | |
dc.identifier.uri | http://wscg.zcu.cz/WSCG2005/Papers_2005/Journal/!WSCG2005_Journal_Final.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/1457 | |
dc.description.abstract | Noise reduction is an important preprocessing step for many visualization techniques that make use of feature extraction. We propose a method for denoising 2-D vector fields that are corrupted by additive noise. The method is based on the vector wavelet transform, which transforms a vector input signal to wavelet coefficients that are also vectors. We introduce modifications to scalar wavelet coefficient thresholding for dealing with vector-valued coefficients. We compare our wavelet-based denoising method with Gaussian filtering, and test the effect of these methods on the signal-to-noise ratio (SNR) of the vector fields before and after denoising. We also compare our method with component-wise scalar wavelet thresholding. Furthermore, we use a vortex measure to study the performances of the methods for retaining relevant details for visualization. The results show that for very low SNR, Gaussian filtering with large kernels has a slightly better performance than the wavelet-based method in terms of SNR. For larger SNR, the wavelet-based method outperforms Gaussian filtering, because Gaussian filtering removes small details that are preserved by the wavelet-based method. Component-wise denoising has a lower performance than our method. | en |
dc.format | 8 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | cs |
dc.relation.ispartofseries | Journal of WSCG | en |
dc.rights | © Václav Skala - UNION Agency | cs |
dc.subject | redukce šumu | cs |
dc.subject | vizualizace toku | cs |
dc.subject | 2D vektorová pole | cs |
dc.title | Denoising 2-D vector fields by vector wavelet thresholding | en |
dc.type | článek | cs |
dc.type | article | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | noise reduction | en |
dc.subject.translated | flow visualization | en |
dc.subject.translated | 2D vector fields | en |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | Volume 13, Number 1-3 (2005) |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
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Westenberg.pdf | Plný text | 564,44 kB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/1457
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