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231223s2000 xx |||||o 00| ||eng c |
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|a 10.1109/83.877222
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|a (NLM)18262936
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|a DE-627
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|a eng
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|a Truong, T K
|e verfasserin
|4 aut
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|a Image data compression using cubic convolution spline interpolation
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|c 2000
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|a Text
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|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 11.12.2009
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|a Date Revised 11.02.2008
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a A new cubic convolution spline interpolation (CCSI )for both one-dimensional (1-D) and two-dimensional (2-D) signals is developed in order to subsample signal and image compression data. The CCSI yields a very accurate algorithm for smoothing. It is also shown that this new and fast smoothing filter for CCSI can be used with the JPEG standard to design an improved JPEG encoder-decoder for a high compression ratio
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|a Letter
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|a Wang, L J
|e verfasserin
|4 aut
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|a Reed, I S
|e verfasserin
|4 aut
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|a Hsieh, W S
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 9(2000), 11 vom: 15., Seite 1988-95
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|x 1057-7149
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|g volume:9
|g year:2000
|g number:11
|g day:15
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|u http://dx.doi.org/10.1109/83.877222
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