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231224s2013 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2012.2231688
|2 doi
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|a eng
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| 100 |
1 |
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|a Lee, Hyungkeuk
|e verfasserin
|4 aut
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| 245 |
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|a Visually weighted compressive sensing
|b measurement and reconstruction
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|c 2013
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 22.07.2013
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|a Date Revised 12.02.2013
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Compressive sensing (CS) makes it possible to more naturally create compact representations of data with respect to a desired data rate. Through wavelet decomposition, smooth and piecewise smooth signals can be represented as sparse and compressible coefficients. These coefficients can then be effectively compressed via the CS. Since a wavelet transform divides image information into layered blockwise wavelet coefficients over spatial and frequency domains, visual improvement can be attained by an appropriate perceptually weighted CS scheme. We introduce such a method in this paper and compare it with the conventional CS. The resulting visual CS model is shown to deliver improved visual reconstructions
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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| 700 |
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|a Oh, Heeseok
|e verfasserin
|4 aut
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| 700 |
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|a Lee, Sanghoon
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bovik, Alan Conrad
|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 22(2013), 4 vom: 01. Apr., Seite 1444-55
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|x 1941-0042
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|g volume:22
|g year:2013
|g number:4
|g day:01
|g month:04
|g pages:1444-55
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|u http://dx.doi.org/10.1109/TIP.2012.2231688
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