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Reference TypeConference Paper (Conference Proceedings)
Last Update1998: (UTC) administrator
Metadata Last Update2013: (UTC) administrator
Citation KeyDarsaCost:1996:MuReRe
TitleMultiresolution representation and reconstruction of adaptively sampled images
FormatImpresso, On-line.
Access Date2022, Jan. 29
Number of Files1
Size256 KiB
Context area
Author1 Darsa, Lucia
2 Costa, Bruno
EditorVelho, Luiz
Albuquerque, Arnaldo de
Lotufo, Roberto A.
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 9 (SIBGRAPI)
Conference LocationCaxambu
Date29 out. - 1 nov. 1996
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleAnais
Tertiary TypeArtigo
OrganizationSBC - Sociedade Brasileira de Computação; UFMG - Universidade Federal de Minas Gerais
History (UTC)2008-07-17 14:17:56 :: administrator -> banon ::
2010-08-28 20:04:49 :: banon -> administrator ::
2013-04-05 16:31:23 :: administrator -> banon :: 1996
2013-04-05 16:40:46 :: banon -> administrator :: 1996
2013-04-19 14:15:01 :: administrator -> banon :: 1996
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AbstractWe present a method for sampling, structuring and reconstructing progressively refined images effectively. This has direct applications to progressive refinement of the result of slow renderers, such as ray tracers, and to the progressive transmission of images on slow media, as in world wide web browsers. Sampling images adaptively with respect to frequency at the back end provides a more compact representation. These samples are then structured at the front end using Voronoi or Delaunay tesselations, and reconstructed with C^0 continuity taking advantage of standard 3D acceleration hardware. The structuring scheme is extended to handle multiresolution images, with optional antialiasing, allowing the representation of an arbitrary level of detail without penalizing the reconstruction.
TypeProcessamento de Imagens
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