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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F09%3A00328990%21RIV10-MSM-67985556
rdf:type
skos:Concept n20:Vysledek
dcterms:description
A fully automatic colour texture editing method is proposed, which allows to synthesise and enlarge an artificial texture sharing anticipated properties from its parent textures. The edited colour texture maintains its original colour spectrum while its frequency is modified according to one or more target template textures. Edited texture is synthesised using a fast recursive model-based algorithm. The algorithm starts with edited and target colour texture samples decomposed into a multi-resolution grid using the Gaussian-Laplacian pyramid. Each band pass colour factors are independently modelled by their dedicated 3D causal autoregressive random field models (CAR). We estimate an optimal contextual neighbourhood and parameters for each of the CAR submodel. The synthesised multi-resolution Laplacian pyramid of the edited colour texture is replaced by the synthesised template texture Laplacian pyramid. A fully automatic colour texture editing method is proposed, which allows to synthesise and enlarge an artificial texture sharing anticipated properties from its parent textures. The edited colour texture maintains its original colour spectrum while its frequency is modified according to one or more target template textures. Edited texture is synthesised using a fast recursive model-based algorithm. The algorithm starts with edited and target colour texture samples decomposed into a multi-resolution grid using the Gaussian-Laplacian pyramid. Each band pass colour factors are independently modelled by their dedicated 3D causal autoregressive random field models (CAR). We estimate an optimal contextual neighbourhood and parameters for each of the CAR submodel. The synthesised multi-resolution Laplacian pyramid of the edited colour texture is replaced by the synthesised template texture Laplacian pyramid.
dcterms:title
Texture Editing Using Frequency Swap Strategy Texture Editing Using Frequency Swap Strategy
skos:prefLabel
Texture Editing Using Frequency Swap Strategy Texture Editing Using Frequency Swap Strategy
skos:notation
RIV/67985556:_____/09:00328990!RIV10-MSM-67985556
n4:aktivita
n11:Z n11:P
n4:aktivity
P(1M0572), P(2C06019), P(GA102/08/0593), Z(AV0Z10750506)
n4:dodaniDat
n9:2010
n4:domaciTvurceVysledku
n14:2890542 n14:9690875
n4:druhVysledku
n18:D
n4:duvernostUdaju
n10:S
n4:entitaPredkladatele
n16:predkladatel
n4:idSjednocenehoVysledku
346121
n4:idVysledku
RIV/67985556:_____/09:00328990
n4:jazykVysledku
n19:eng
n4:klicovaSlova
texture editing; Markov random fields
n4:klicoveSlovo
n13:Markov%20random%20fields n13:texture%20editing
n4:kontrolniKodProRIV
[8833708B2857]
n4:mistoKonaniAkce
Muenster
n4:mistoVydani
Heidelberg
n4:nazevZdroje
Computer Analysis of Images and Patterns
n4:obor
n7:BD
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n6:1M0572 n6:GA102%2F08%2F0593 n6:2C06019
n4:rokUplatneniVysledku
n9:2009
n4:tvurceVysledku
Havlíček, Vojtěch Haindl, Michal
n4:typAkce
n21:WRD
n4:zahajeniAkce
2009-09-02+02:00
n4:zamer
n17:AV0Z10750506
s:numberOfPages
8
n8:hasPublisher
Springer-Verlag
n3:isbn
978-3-642-03766-5