Three-dimensional speckle-noise reduction by using computational integral imaging and statistical point estimator

Inkyu Moon

doi:10.1117/12.886728

20 May 2011 Three-dimensional speckle-noise reduction by using computational integral imaging and statistical point estimator

Inkyu Moon

Author Affiliations +

Proceedings Volume 8043, Three-Dimensional Imaging, Visualization, and Display 2011; 80430W (2011) https://doi.org/10.1117/12.886728
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Inkyu Moon "Three-dimensional speckle-noise reduction by using computational integral imaging and statistical point estimator", Proc. SPIE 8043, Three-Dimensional Imaging, Visualization, and Display 2011, 80430W (20 May 2011); https://doi.org/10.1117/12.886728

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