Simplified Digital Holographic Reconstruction Using Statistical Methods
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.contributor.author | Sutthivirat, Sciowcipcik | en_US |
dc.date.accessioned | 2011-08-18T18:20:59Z | |
dc.date.available | 2011-08-18T18:20:59Z | |
dc.date.issued | 2004-10-24 | en_US |
dc.identifier.citation | Fessler, J.A.; Sotthivirat, S. (2004). "Simplified Digital Holographic Reconstruction Using Statistical Methods." International Conference on Image Processing 4: 2435-2438. <http://hdl.handle.net/2027.42/85883> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85883 | |
dc.description.abstract | For reconstructing a complex object wavefront from digital holograms, we propose a new penalized-likelihood approach based on the measurement statistics and edge-preserving regularization. The log-likelihood is complicated since the measurements are related to the magnitude of the complex beam. We use optimization transfer to derive a new simplified iterative algorithm that monotonically decreases the cost function. Unlike the conventional FFT-based holographic reconstruction method, the new approach uses all of the measured data and can be applied to holograms with any (known) reference beam pattern. Simulation results demonstrate the potential for improved image quality. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Simplified Digital Holographic Reconstruction Using Statistical Methods | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Biomedical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationother | National Electronics and Computer Technology Center Minislry of Science and Technology Klong Luang, Pathumthani 12120, THAILAND | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85883/1/Fessler199.pdf | |
dc.identifier.doi | 10.1109/ICIP.2004.1421593 | en_US |
dc.identifier.source | International Conference on Image Processing | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.