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Three-dimensional photon counting integral imaging using Bayesian estimation
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DOI：10.1364/OL.35.001825.png)
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Abstract
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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. (C) 2010 Optical Society of America
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PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
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