Estimating the joint spectral radius of a nonseparable multiwavelet
The joint spectral radius ρ of 2 matrices is related to the boundedness of all their products. Calculating ρ is known to be NP-hard. In this work we estimate the joint spectral radius associated to a bidimensional separable multiwavelet, in order to analyze its Hölder continuity. To the author'...
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2003
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15224902_v2003-January_n_p109_Ruedin http://hdl.handle.net/20.500.12110/paper_15224902_v2003-January_n_p109_Ruedin |
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paper:paper_15224902_v2003-January_n_p109_Ruedin |
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dspace |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Joint spectral radius Magnification Multiwavelet Nonseparable Image processing Basis functions Image magnification Image synthesis Joint spectral radius Magnification Multi-wavelet transform Multiwavelet Nonseparable Matrix algebra |
spellingShingle |
Joint spectral radius Magnification Multiwavelet Nonseparable Image processing Basis functions Image magnification Image synthesis Joint spectral radius Magnification Multi-wavelet transform Multiwavelet Nonseparable Matrix algebra Ruedin, Ana María Clara Estimating the joint spectral radius of a nonseparable multiwavelet |
topic_facet |
Joint spectral radius Magnification Multiwavelet Nonseparable Image processing Basis functions Image magnification Image synthesis Joint spectral radius Magnification Multi-wavelet transform Multiwavelet Nonseparable Matrix algebra |
description |
The joint spectral radius ρ of 2 matrices is related to the boundedness of all their products. Calculating ρ is known to be NP-hard. In this work we estimate the joint spectral radius associated to a bidimensional separable multiwavelet, in order to analyze its Hölder continuity. To the author's knowledge this has not been done. The analysis aims at testing the aplicability of the multiwavelet transform to those aspects of image processing where continuous basis functions perform best, such as image synthesis, image magnification and image compression. We adapt an algorithm due to Heil and Colella, that works for unidimensional wavelets, to our more complex setting, to prove that ρ < 1 , and show the performance of the multiwavelet for image magnification. © 2003 IEEE. |
author |
Ruedin, Ana María Clara |
author_facet |
Ruedin, Ana María Clara |
author_sort |
Ruedin, Ana María Clara |
title |
Estimating the joint spectral radius of a nonseparable multiwavelet |
title_short |
Estimating the joint spectral radius of a nonseparable multiwavelet |
title_full |
Estimating the joint spectral radius of a nonseparable multiwavelet |
title_fullStr |
Estimating the joint spectral radius of a nonseparable multiwavelet |
title_full_unstemmed |
Estimating the joint spectral radius of a nonseparable multiwavelet |
title_sort |
estimating the joint spectral radius of a nonseparable multiwavelet |
publishDate |
2003 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15224902_v2003-January_n_p109_Ruedin http://hdl.handle.net/20.500.12110/paper_15224902_v2003-January_n_p109_Ruedin |
work_keys_str_mv |
AT ruedinanamariaclara estimatingthejointspectralradiusofanonseparablemultiwavelet |
bdutipo_str |
Repositorios |
_version_ |
1764820567363420160 |