Automatic depth map retrieval from digital holograms using a depth-from-focus approach

Autor: Nabil Madali, Antonin Gilles, Patrick Gioia, Luce Morin
Přispěvatelé: Advanced Media Content, Domaine Hypermedia (IRT b<>com) (Hypermedia), Institut de Recherche Technologique b-com (IRT b-com)-Institut de Recherche Technologique b-com (IRT b-com), Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA), Orange Labs, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Applied optics
Applied optics, 2023, 62 (10), pp.D77-D89. ⟨10.1364/ao.478634⟩
ISSN: 1559-128X
2155-3165
DOI: 10.1364/ao.478634⟩
Popis: International audience; Recovering the scene depth map from a computer-generated hologram is a problem that remains unsolved, despite the growing interest in the subject. In this article, we propose to study the application of depth-from-focus (DFF) methods to retrieve the depth information from the hologram. We discuss the different hyperparameters that are required for the application of the method and their impact on the final result. The obtained results show that DFF methods can be used for depth estimation from the hologram if the set of hyperparameters are well chosen.
Databáze: OpenAIRE