Three-dimensional photon counting integral imaging using Bayesian estimation
Optics Letters, Vol. 35, Issue 11, pp. 1825-1827 (2010)
http://dx.doi.org/10.1364/OL.35.001825
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Abstract
We propose a new estimation method for 3D object reconstruction using photon-counting integral imaging. Earlier studies used maximum likelihood estimation (MLE) as a classical statistical method to reconstruct 3D images from photon-counting elemental images. We use an alternative statistical method known as the Bayesian method, which is more flexible and may perform better than MLE in terms of the mean square error (MSE) metric. The performance of the new reconstruction method is illustrated and compared with MLE by using the MSE. To the best of our knowledge, this is the first report to use the Bayesian method for 3D reconstruction of photon-counting integral imaging.
© 2010 Optical Society of America
OCIS Codes
(030.5260) Coherence and statistical optics : Photon counting
(030.5290) Coherence and statistical optics : Photon statistics
(100.6890) Image processing : Three-dimensional image processing
(110.0110) Imaging systems : Imaging systems
(110.6880) Imaging systems : Three-dimensional image acquisition
ToC Category:
Image Processing
History
Original Manuscript: February 16, 2010
Revised Manuscript: April 19, 2010
Manuscript Accepted: April 28, 2010
Published: May 24, 2010
Citation
Jinhyouk Jung, Myungjin Cho, Dipak K. Dey, and Bahram Javidi, "Three-dimensional photon counting integral imaging using Bayesian estimation," Opt. Lett. 35, 1825-1827 (2010)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-35-11-1825
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