Shortt, Alison E. and Naughton, Thomas J. and Javidi, Bahram (2007) Histogram Approaches for Lossy Compression of Digital Holograms of Three-Dimensional Objects. IEEE Transactions on Image Processing, 16 (6). pp. 1548-1556. ISSN 1057-7149

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Abstract

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 straightforward 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

Item Type:	Article
Keywords:	Histograms; Quantization; Image coding; Holography; Image reconstruction; Optical interferometry; Streaming media; Computer science; Pixel; Speckle; Digital holography; image compression; nonuniform quantization; 3-D image processing;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	12387
Identification Number:	https://doi.org/10.1109/TIP.2007.894269
Depositing User:	Thomas Naughton
Date Deposited:	07 Feb 2020 15:16
Journal or Publication Title:	IEEE Transactions on Image Processing
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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