Image processing with nonseparable multiwavelets
- Autores
- Ruedín, Ana M. C.
- Año de publicación
- 2001
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In a general context we introduce image processing with 1-dimensional wavelets and show the diferences with nonseparable 2-dimensional wavelets having quincunx decimation, in the first place, and with balanced nonseparable 2-dimensional multiwavelets, in the second place. All of them are orthogonal. Formulae for analysis and synthesis are given for the latter. The first steps are illustrated with images. The decomposition of the original image into 2 input images is explained. We illustrate with examples 2 applications: zoom-in (interpolation) and compression of images.
Facultad de Informática - Materia
-
Ciencias Informáticas
multiwavelets; nonseparable; quincunx
Informática
Procesamiento de imágenes
Compresión - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc/3.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/9411
Ver los metadatos del registro completo
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Image processing with nonseparable multiwaveletsRuedín, Ana M. C.Ciencias Informáticasmultiwavelets; nonseparable; quincunxInformáticaProcesamiento de imágenesCompresiónIn a general context we introduce image processing with 1-dimensional wavelets and show the diferences with nonseparable 2-dimensional wavelets having quincunx decimation, in the first place, and with balanced nonseparable 2-dimensional multiwavelets, in the second place. All of them are orthogonal. Formulae for analysis and synthesis are given for the latter. The first steps are illustrated with images. The decomposition of the original image into 2 input images is explained. We illustrate with examples 2 applications: zoom-in (interpolation) and compression of images.Facultad de Informática2001info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/9411enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/R_JCSyT.pdfinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-12T10:15:27Zoai:sedici.unlp.edu.ar:10915/9411Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-12 10:15:28.227SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Image processing with nonseparable multiwavelets |
| title |
Image processing with nonseparable multiwavelets |
| spellingShingle |
Image processing with nonseparable multiwavelets Ruedín, Ana M. C. Ciencias Informáticas multiwavelets; nonseparable; quincunx Informática Procesamiento de imágenes Compresión |
| title_short |
Image processing with nonseparable multiwavelets |
| title_full |
Image processing with nonseparable multiwavelets |
| title_fullStr |
Image processing with nonseparable multiwavelets |
| title_full_unstemmed |
Image processing with nonseparable multiwavelets |
| title_sort |
Image processing with nonseparable multiwavelets |
| dc.creator.none.fl_str_mv |
Ruedín, Ana M. C. |
| author |
Ruedín, Ana M. C. |
| author_facet |
Ruedín, Ana M. C. |
| author_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas multiwavelets; nonseparable; quincunx Informática Procesamiento de imágenes Compresión |
| topic |
Ciencias Informáticas multiwavelets; nonseparable; quincunx Informática Procesamiento de imágenes Compresión |
| dc.description.none.fl_txt_mv |
In a general context we introduce image processing with 1-dimensional wavelets and show the diferences with nonseparable 2-dimensional wavelets having quincunx decimation, in the first place, and with balanced nonseparable 2-dimensional multiwavelets, in the second place. All of them are orthogonal. Formulae for analysis and synthesis are given for the latter. The first steps are illustrated with images. The decomposition of the original image into 2 input images is explained. We illustrate with examples 2 applications: zoom-in (interpolation) and compression of images. Facultad de Informática |
| description |
In a general context we introduce image processing with 1-dimensional wavelets and show the diferences with nonseparable 2-dimensional wavelets having quincunx decimation, in the first place, and with balanced nonseparable 2-dimensional multiwavelets, in the second place. All of them are orthogonal. Formulae for analysis and synthesis are given for the latter. The first steps are illustrated with images. The decomposition of the original image into 2 input images is explained. We illustrate with examples 2 applications: zoom-in (interpolation) and compression of images. |
| publishDate |
2001 |
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2001 |
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eng |
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eng |
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info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/R_JCSyT.pdf |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc/3.0/ Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) |
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openAccess |
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