Recent Advances in Digital Holography and Its Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 1569

Special Issue Editors


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Guest Editor
Orange Labs, Institute for Research and Technology b-com, Rennes, France
Interests: digital holography; computer generated holograms; space/frequency hologram analysis for coding and compression

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Guest Editor
Department of Electrical and Electronic Engineering, University of Cagliari, 09124 Cagliari, Italy
Interests: immersive media (lightfield, holography) coding and compression; multimedia quality of experience
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Special Issue Information

Dear Colleagues,

Digital holography has revolutionized traditional analogic holography and has been the subject of a vast amount of work in the past decades, paving the way towards a large spectrum of applications; although the numerous technological issues have long made it synonymous with long term research, we are now reaching a turning point where digital holography is about to realize its promises of deployment in several aspects of everyday life; advances in terms of displays are today meeting the imaging requirements of the metaverse, and neural networks provide new approaches to problems until they are considered untractable.

In this rapidly evolving context, the goal of this Special Issue is to share the latest research in the various topics of digital holography, including (but not limited to):

  • Holographic optical elements;
  • Computer generated holograms;
  • Phase processing;
  • Holographic microscopy and tomography.

Both theoretical and practical works will be welcome, as well as comprehensive reviews.

Dr. Patrick Gioia
Dr. Cristian Perra
Guest Editors

Manuscript Submission Information

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Published Papers (1 paper)

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Research

19 pages, 5612 KiB  
Article
PSDFH: A Phase-Space-Based Depth from Hologram Extraction Method
by Nabil Madali, Antonin Gilles, Patrick Gioia and Luce Morin
Appl. Sci. 2023, 13(4), 2463; https://doi.org/10.3390/app13042463 - 14 Feb 2023
Cited by 2 | Viewed by 1007
Abstract
Object pre-localization from computer-generated holograms is still an open problem in the current state of the art. In this work, we propose the use of the hologram phase space representation to determine a set of regions of interest where the searched object can [...] Read more.
Object pre-localization from computer-generated holograms is still an open problem in the current state of the art. In this work, we propose the use of the hologram phase space representation to determine a set of regions of interest where the searched object can be located. The extracted regions can be used to pre-locate the object in 3D space and are further refined to produce a more accurate depth estimate. An iterative refinement method is proposed for 1D holograms and is extended in a parsimonious version for 2D holograms. A series of experiments are conducted to assess the quality of the extracted regions of interest and the sparse depth estimate produced by the iterative refinement method. Experimental results show that it is possible to pre-localize the object in 3D space from the phase space representation and thus to improve the calculation time by reducing the number of operations and numerical reconstructions necessary for the application of s (DFF) methods. Using the proposed methodology, the time for the application of the DFF method is reduced by half, and the accuracy is increased by a factor of three. Full article
(This article belongs to the Special Issue Recent Advances in Digital Holography and Its Applications)
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