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Proceedings Paper

Three-dimensional speckle-noise reduction by using computational integral imaging and statistical point estimator
Author(s): Inkyu Moon
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Paper Abstract

In this paper we overview a method which can remove speckle noises to exist in coherent imaging systems. Integral imaging (II) system under coherent illumination records the elemental image set with speckle noise patterns of a threedimensional (3D) object. The computational geometrical ray propagation and statistical point estimation algorithms are applied to the elemental image set in order to reconstruct the speckle reduced 3D integral imaging. As performance metrics, the SNR and speckle index are calculated. The results are used to compare the speckle reduced 3D image reconstructed by the presented method with the coherent image having speckle patterns. It is shown in experiments that the presented method can three dimensionally reduce the speckle noise in the 3D object reconstruction.

Paper Details

Date Published: 20 May 2011
PDF: 6 pages
Proc. SPIE 8043, Three-Dimensional Imaging, Visualization, and Display 2011, 80430W (20 May 2011); doi: 10.1117/12.886728
Show Author Affiliations
Inkyu Moon, Chosun Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 8043:
Three-Dimensional Imaging, Visualization, and Display 2011
Bahram Javidi; Jung-Young Son, Editor(s)

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