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|a 10.1109/TIP.2012.2211029
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|a eng
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| 100 |
1 |
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|a Bianco, Simone
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Sampling optimization for printer characterization by direct search
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|c 2012
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 13.05.2013
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| 500 |
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|a Date Revised 29.11.2012
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Printer characterization usually requires many printer inputs and corresponding color measurements of the printed outputs. In this brief, a sampling optimization for printer characterization on the basis of direct search is proposed to maintain high color accuracy with a reduction in the number of characterization samples required. The proposed method is able to match a given level of color accuracy requiring, on average, a characterization set cardinality which is almost one-fourth of that required by the uniform sampling, while the best method in the state of the art needs almost one-third. The number of characterization samples required can be further reduced if the proposed algorithm is coupled with a sequential optimization method that refines the sample values in the device-independent color space. The proposed sampling optimization method is extended to deal with multiple substrates simultaneously, giving statistically better colorimetric accuracy (at the α = 0.05 significance level) than sampling optimization techniques in the state of the art optimized for each individual substrate, thus allowing use of a single set of characterization samples for multiple substrates
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|a Journal Article
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|a Schettini, Raimondo
|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 21(2012), 12 vom: 01. Dez., Seite 4868-73
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|x 1941-0042
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|g year:2012
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|u http://dx.doi.org/10.1109/TIP.2012.2211029
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