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|e rakwb
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|a eng
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|a Shortt, Alison E
|e verfasserin
|4 aut
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|a Histogram approaches for lossy compression of digital holograms of three-dimensional objects
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|c 2007
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|a Text
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|a ohne Hilfsmittel zu benutzen
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|a Date Completed 03.07.2007
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|a Date Revised 10.12.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a We present a novel nonuniform quantization compression technique-histogram quantization-for digital holograms of 3-D real-world objects. We exploit a priori knowledge of the distribution of the values in our data. We compare this technique to another histogram based approach: a modified version of Max's algorithm that has been adapted in a straight-forward manner to complex-valued 2-D signals. We conclude the compression procedure by applying lossless techniques to our quantized data. We demonstrate improvements over previous results obtained by applying uniform and nonuniform quantization techniques to the hologram data
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|a Evaluation Study
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Naughton, Thomas J
|e verfasserin
|4 aut
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|a Javidi, Bahram
|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 16(2007), 6 vom: 30. Juni, Seite 1548-56
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|x 1941-0042
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|g volume:16
|g year:2007
|g number:6
|g day:30
|g month:06
|g pages:1548-56
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