Results 21 to 30 of about 1,217,682 (246)

HoloForkNet: Digital Hologram Reconstruction via Multibranch Neural Network

open access: yesApplied Sciences, 2023
Reconstruction of 3D scenes from digital holograms is an important task in different areas of science, such as biology, medicine, ecology, etc. A lot of parameters, such as the object’s shape, number, position, rate and density, can be extracted. However,
A. S. Svistunov   +3 more
semanticscholar   +1 more source

Randomness assisted in-line holography with deep learning

open access: yesScientific Reports, 2023
We propose and demonstrate a holographic imaging scheme exploiting random illuminations for recording hologram and then applying numerical reconstruction and twin image removal.
Manisha   +4 more
doaj   +1 more source

Verification of Polarization Matching on the Hologram Recording Plane for the Implementation of an Optimized Digital Hologram Printing System

open access: yesFrontiers in Physics, 2022
Conventional studies on digital hologram printer have mainly been conducted on image generation and reconstruction such as multi-view image generation method, computer-generated hologram (CGH) and a method of displaying a wave-front for a 3D object ...
Leehwan Hwang   +6 more
doaj   +1 more source

Adaptive Digital Hologram Binarization Method Based on Local Thresholding, Block Division and Error Diffusion

open access: yesJournal of Imaging, 2022
High-speed optical reconstruction of 3D-scenes can be achieved using digital holography with binary digital micromirror devices (DMD) or a ferroelectric spatial light modulator (fSLM). There are many algorithms for binarizing digital holograms.
Pavel A. Cheremkhin   +5 more
doaj   +1 more source

Hologram synthesis for photorealistic reconstruction [PDF]

open access: yesJournal of the Optical Society of America A, 2008
Computation of diffraction patterns, and thus holograms, of scenes with photorealistic properties is a highly complicated and demanding process. An algorithm, based primarily on computer graphics methods, for computing full-parallax diffraction patterns of complicated surfaces with realistic texture and reflectivity properties is proposed and tested ...
Janda, M., Hanák I., Onural L.
openaire   +4 more sources

EFFECT OF OBJECT REPRESENTATION FORM ON DEPTH RESOLUTION OF RESTORED IMAGES OBTAINED BY SYNTHESIZED FRESNEL HOLOGRAMS [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2019
Subject of the Research. The paper presents the study on the effect of object representation form on the depth resolution of images reconstructed via computer-generated Fresnel holograms-projectors. Method.
Sergey N. Koreshev, Marina A. Frolova
doaj   +1 more source

Phase hologram optimization with bandwidth constraint strategy for speckle-free optical reconstruction.

open access: yesOptics Express, 2021
An iterative method with bandwidth constraint strategy is proposed to design phase holograms for high-quality speckle-free optical reconstruction. The bandwidth properties of the reconstructed field are analyzed theoretically based on the sampling theory,
Lizhi Chen   +4 more
semanticscholar   +1 more source

Comprehensive deep learning model for 3D color holography

open access: yesScientific Reports, 2022
Holography is a vital tool used in various applications from microscopy, solar energy, imaging, display to information encryption. Generation of a holographic image and reconstruction of object/hologram information from a holographic image using the ...
Alim Yolalmaz, Emre Yüce
doaj   +1 more source

Three-Dimensional Modeling of Sound Field Holograms of a Moving Source in the Presence of Internal Waves Causing Horizontal Refraction

open access: yesJournal of Marine Science and Engineering, 2023
In this paper, we study the variations of holograms of a moving source in an inhomogeneous ocean waveguide. It is assumed that intense internal waves (internal solitons) are the reason for the inhomogeneities of the shallow water waveguide.
Sergey Pereselkov   +5 more
doaj   +1 more source

Robust Holographic Reconstruction by Deep Learning with One Frame

open access: yesPhotonics, 2023
A robust method is proposed to reconstruct images with only one hologram in digital holography by introducing a deep learning (DL) network. The U-net neural network is designed according to DL principles and trained by the image data set collected using ...
Xianfeng Xu   +3 more
doaj   +1 more source

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