On the use of deep learning for phase recovery
Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
Learning-based nonparametric autofocusing for digital holography
In digital holography, it is crucial to extract the object distance from a hologram in order to
reconstruct its amplitude and phase. This is known as autofocusing, which is conventionally …
reconstruct its amplitude and phase. This is known as autofocusing, which is conventionally …
Convolutional neural network-based regression for depth prediction in digital holography
Digital holography enables us to reconstruct objects in three-dimensional space from
holograms captured by an imaging device. For the reconstruction, we need to know the …
holograms captured by an imaging device. For the reconstruction, we need to know the …
Autofocusing in digital holography using deep learning
In digital holography, it is critical to know the distance in order to reconstruct the multi-
sectional object. This autofocusing is traditionally solved by reconstructing a stack of in-focus …
sectional object. This autofocusing is traditionally solved by reconstructing a stack of in-focus …
Automatic focusing for multisectional objects in digital holography using the structure tensor
Determining the axial position of the recorded object in digital holography is a crucial step
for image reconstruction. When multiple discrete sections of a three-dimensional object are …
for image reconstruction. When multiple discrete sections of a three-dimensional object are …
Non-destructive inspection and quantification of soldering defects in PCB using an autofocusing digital holographic camera
The essential requirements for any digital holography-based system to get employed as an
inspection device in electronic industry are portability and ability to automatically focus on …
inspection device in electronic industry are portability and ability to automatically focus on …
Providing a visual understanding of holography through phase space representations
Featured Application Visually interpretable phase space representations can aid the
development of new methodologies in digital holography in general and can be evaluated …
development of new methodologies in digital holography in general and can be evaluated …
Fast numerical autofocus of multispectral complex fields in digital holographic microscopy with a criterion based on the phase in the Fourier domain
J Dohet-Eraly, C Yourassowsky, F Dubois - Optics letters, 2016 - opg.optica.org
The knowledge of the complex amplitude of optical fields, that is, both quantitative phase
and intensity, enables numeric reconstruction along the optical axis. Nonetheless, a criterion …
and intensity, enables numeric reconstruction along the optical axis. Nonetheless, a criterion …
PS-NET: an end-to-end phase space depth estimation approach for computer-generated holograms
In the present work, an end-to-end approach is proposed for recovering an RGB-D scene
representation directly from a hologram using its phase space representation. The proposed …
representation directly from a hologram using its phase space representation. The proposed …
Automatic focus determination through cosine and modified cosine score in digital holography
A He, W Xiao, F Pan - Optical Engineering, 2017 - spiedigitallibrary.org
An automatic focus determination method in digital holography that utilizes the cosine score
(CS) of the inner angle between the vectors that result from adjacent axial reconstructed …
(CS) of the inner angle between the vectors that result from adjacent axial reconstructed …