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231223s1998 xx |||||o 00| ||eng c |
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|a 10.1109/83.679446
|2 doi
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|a eng
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| 100 |
1 |
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|a Paget, R
|e verfasserin
|4 aut
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|a Texture synthesis via a noncausal nonparametric multiscale Markov random field
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|c 1998
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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| 500 |
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|a Date Completed 29.06.2010
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| 500 |
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|a Date Revised 15.02.2008
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Our noncausal, nonparametric, multiscale, Markov random field (MRF) model is capable of synthesizing and capturing the characteristics of a wide variety of textures, from the highly structured to the stochastic. We use a multiscale synthesis algorithm incorporating local annealing to obtain larger realizations of texture visually indistinguishable from the training texture
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| 650 |
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|a Journal Article
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|a Longstaff, I D
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 7(1998), 6 vom: 30., Seite 925-31
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|g pages:925-31
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|u http://dx.doi.org/10.1109/83.679446
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