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231223s2010 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2009.2039665
|2 doi
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|a DE-627
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|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Sreedevi, Paruvelli
|e verfasserin
|4 aut
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| 245 |
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|a An examplar-based approach for texture compaction synthesis and retrieval
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|c 2010
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 29.11.2010
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|a Date Revised 23.07.2010
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a A texture representation should corroborate various functions of a texture. In this paper, we present a novel approach that incorporates texture features for retrieval in an examplar-based texture compaction and synthesis algorithm. The original texture is compacted and compressed in the encoder to obtain a thumbnail texture, which the decoder then synthesizes to obtain a perceptually high quality texture. We propose using a probabilistic framework based on the generalized EM algorithm to analyze the solutions of the approach. Our experiment results show that a high quality synthesized texture can be generated in the decoder from a compressed thumbnail texture. The number of bits in the compressed thumbnail is 400 times lower than that in the original texture and 50 times lower than that needed to compress the original texture using JPEG2000. We also show that, in terms of retrieval and synthesization, our compressed and compacted textures perform better than compressed cropped textures and compressed compacted textures derived by the patchwork algorithm
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|a Journal Article
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|a Hwang, Wen-Liang
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lei, Shawmin
|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 19(2010), 5 vom: 19. Mai, Seite 1307-18
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
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|g volume:19
|g year:2010
|g number:5
|g day:19
|g month:05
|g pages:1307-18
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|u http://dx.doi.org/10.1109/TIP.2009.2039665
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|d 19
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