Histogram approaches for lossy compression of digital holograms of three-dimensional objects

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 M...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 16(2007), 6 vom: 30. Juni, Seite 1548-56
1. Verfasser: Shortt, Alison E (VerfasserIn)
Weitere Verfasser: Naughton, Thomas J, Javidi, Bahram
Format: Aufsatz
Sprache:English
Veröffentlicht: 2007
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Evaluation Study Journal Article Research Support, Non-U.S. Gov't
LEADER 01000naa a22002652 4500
001 NLM170682110
003 DE-627
005 20231223124039.0
007 tu
008 231223s2007 xx ||||| 00| ||eng c
028 5 2 |a pubmed24n0569.xml 
035 |a (DE-627)NLM170682110 
035 |a (NLM)17547133 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Shortt, Alison E  |e verfasserin  |4 aut 
245 1 0 |a Histogram approaches for lossy compression of digital holograms of three-dimensional objects 
264 1 |c 2007 
336 |a Text  |b txt  |2 rdacontent 
337 |a ohne Hilfsmittel zu benutzen  |b n  |2 rdamedia 
338 |a Band  |b nc  |2 rdacarrier 
500 |a Date Completed 03.07.2007 
500 |a Date Revised 10.12.2019 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |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 
650 4 |a Evaluation Study 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
700 1 |a Naughton, Thomas J  |e verfasserin  |4 aut 
700 1 |a Javidi, Bahram  |e verfasserin  |4 aut 
773 0 8 |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  |w (DE-627)NLM09821456X  |x 1941-0042  |7 nnns 
773 1 8 |g volume:16  |g year:2007  |g number:6  |g day:30  |g month:06  |g pages:1548-56 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 16  |j 2007  |e 6  |b 30  |c 06  |h 1548-56