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Shortt, Alison E., 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: | 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 |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/12387 |
| 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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