Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2005: (UTC) administrator
Metadata Last Update2020: (UTC) administrator
Citation KeyToniettoWaltJung:2005:PaTeSy
TitlePatch-based texture synthesis using wavelets
Access Date2021, Nov. 27
Number of Files1
Size382 KiB
Context area
Author1 Tonietto, Leandro
2 Walter, Marcelo
3 Jung, Cláudio
Affiliation1 Universidade do Vale do Rio dos Sinos
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2005-07-15 19:36:59 :: marcelow -> banon ::
2005-07-18 14:50:47 :: banon -> marcelow ::
2008-07-17 14:11:01 :: marcelow -> banon ::
2008-08-26 15:17:03 :: banon -> administrator ::
2009-08-13 20:37:56 :: administrator -> banon ::
2010-08-28 20:01:19 :: banon -> administrator ::
2020-02-19 03:19:20 :: administrator -> :: 2005
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordstexture synthesis from samples
AbstractPatch-based texture synthesis builds a texture by joining together blocks of pixels -- patches -- of the original sample. Usually the best patches are selected among all possible using a $L2$ norm on the RGB or grayscale pixel values of boundary zones. The $L2$ metric provides the raw pixel-to-pixel difference, disregarding relevant image structures -- such as edges -- that are relevant in the human visual system and therefore on synthesis of new textures. We present a wavelet-based approach for selecting patches for patch-based texture synthesis. For each possible patch we compute the wavelet coefficients for the boundary region and pick the patch with the smallest error computed from the wavelet coefficients. We show that the use of wavelets as metric for selection of the best patches improves texture synthesis for samples which previous work fails, mainly textures with prominent aligned features..
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Target Filetoniettol_texture.pdf
User Groupmarcelow
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