Quantitative analysis of 3D images formed using range compressed holography

Date of Award

2017

Degree Name

M.S. in Electro-Optics

Department

Department of Electro-Optics and Photonics

Advisor/Chair

Advisor: David J. Rabb

Abstract

Range compressed holography is a technique that uses multiple two-dimensional (2D), single wavelength holograms in order to create a range compressed three-dimensional (3D) image of a scene. Typically, these range compressed 3D images are described in terms of system parameters such as SNR and resolution in each of the dimensions. While these quantify some aspects of the resulting 3D data product, the overall performance may only be qualitatively analyzed. A holistic metric is needed that encompasses these system parameters, as well as the nonlinear method of reconstruction of surfaces within volume noise. Representing the images as point clouds allows conventional point cloud metrics to be applied. The metric used is the Point Cloud Library's fitness score, which calculates the mean squared Euclidean distance between the reconstructed point cloud and the reference point cloud. Two scenes were created. The first, a flat plate was chosen to test range precision only and in the other, a more complex scene was created including a vehicle on a flat surface to account for cross-range resolution impacts on the mean squared Euclidean distance. The range variances for surface reconstructions of the flat plate were measured for simulations and experiments and, due to the constant range being independent of cross-range, are equivalent to the mean squared Euclidean distance. The mean squared Euclidean distance was also found for the complex scene through simulations. The simulations and experiments varied signal photons, bandwidth, and speckle realizations to observe the impacts on image quality using a quantitative measurement. The purpose of this thesis is to use the metric to understand how each of the variables impacts image quality and determine the most signal photon efficient way to collect data for range compressed holography.

Keywords

Holography Evaluation, Digital images Evaluation, Imaging systems Image quality Standards, Three-dimensional imaging, Physics, Optics, Electrical Engineering, Digital Holography, 3D Image Quality, Range Compressed Holography, Quantitative Analysis, Image Metric

Rights Statement

Copyright © 2017, author

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