PSDFH: A Phase-Space-Based Depth from Hologram Extraction Method
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 ca...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/4/2463 |
| _version_ | 1797622581259403264 |
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| author | Nabil Madali Antonin Gilles Patrick Gioia Luce Morin |
| author_facet | Nabil Madali Antonin Gilles Patrick Gioia Luce Morin |
| author_sort | Nabil Madali |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T09:12:20Z |
| format | Article |
| id | doaj.art-b926dd85de3043958f27a25f308949b8 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T09:12:20Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-b926dd85de3043958f27a25f308949b82023-11-16T18:56:06ZengMDPI AGApplied Sciences2076-34172023-02-01134246310.3390/app13042463PSDFH: A Phase-Space-Based Depth from Hologram Extraction MethodNabil Madali0Antonin Gilles1Patrick Gioia2Luce Morin3Institute of Research & Technology b-com, 35510 Cesson-Sévigné, FranceInstitute of Research & Technology b-com, 35510 Cesson-Sévigné, FranceInstitute of Research & Technology b-com, 35510 Cesson-Sévigné, FranceInstitute of Research & Technology b-com, 35510 Cesson-Sévigné, FranceObject 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.https://www.mdpi.com/2076-3417/13/4/24633D imagingholographydepth estimationphase spaceshort-term Fourier transformFourier optics |
| spellingShingle | Nabil Madali Antonin Gilles Patrick Gioia Luce Morin PSDFH: A Phase-Space-Based Depth from Hologram Extraction Method Applied Sciences 3D imaging holography depth estimation phase space short-term Fourier transform Fourier optics |
| title | PSDFH: A Phase-Space-Based Depth from Hologram Extraction Method |
| title_full | PSDFH: A Phase-Space-Based Depth from Hologram Extraction Method |
| title_fullStr | PSDFH: A Phase-Space-Based Depth from Hologram Extraction Method |
| title_full_unstemmed | PSDFH: A Phase-Space-Based Depth from Hologram Extraction Method |
| title_short | PSDFH: A Phase-Space-Based Depth from Hologram Extraction Method |
| title_sort | psdfh a phase space based depth from hologram extraction method |
| topic | 3D imaging holography depth estimation phase space short-term Fourier transform Fourier optics |
| url | https://www.mdpi.com/2076-3417/13/4/2463 |
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