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Comparing algorithms for reconstructing digital off-axis Fresnel holograms
Author(s) -
Michael Liebling,
Michaël Unser
Publication year - 2005
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.631039
Subject(s) - computer science , holography , digital holography , computer vision , object (grammar) , metrology , algorithm , process (computing) , artificial intelligence , ground truth , iterative reconstruction , position (finance) , computer graphics (images) , optics , physics , finance , economics , operating system
Three-dimensional information about an object, such as its depth, may be captured and stored digitally in a single, two-dimensional, real- valued hologram acquired in an off-axis geometry. Digital reconstruction of the hologram permits the quantitative retrieval of depth data and object position, or allows post-acquisition focusing on selected scenes. Over the past few decades, a number of reconstruction algorithms have been proposed to perform this task in various experimental conditions and for different purposes (metrology, imaging, etc.). Here, we aim at providing guidelines for deciding which algorithm to apply to a given problem. We evaluate reconstruction procedures based on criteria such as reconstruction quality and computational complexity. We propose a simulation procedure of the acquisition process, that allows us to compare a large body of experimental situations and, because the ground truth is known, achieve quantitative comparison.

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