EventsHolography Meets Advanced Manufacturing
Published
This submission belongs to the session H2. Holography 2 of the event Holography Meets Advanced Manufacturing
Published date
13 Mar, 2023
Academic Editor
author-avatarVIJAYAKUMAR ANAND
Citation
Tatsuki Tahara, Yuichi Kozawa, Tomoya Nakamura, Atsushi Matsuda, Tomoyoshi Shimobaba, Incoherent digital holography for multidimensional motion-picture imaging, in Proceedings of Holography Meets Advanced Manufacturing, 20 February–22 February 2023, MDPI: Basel, Switzerland, doi: 10.3390/HMAM2-14153
Share
Email
Facebook
Twitter
LinkedIn

Incoherent digital holography for multidimensional motion-picture imaging

Yuichi Kozawa 2
1. Applied Electromagnetic Research Center, Radio Research Institute, National Institute of Information and Communications Technology, Japan
2. Institute of Multidisciplinary Research for Advanced Materials, Tohoku University
3. SANKEN, Osaka University
4. Advanced ICT Research Institute Kobe, National Institute of Information and Communications Technology
5. Graduate School of Engineering, Chiba University
Abstract

Incoherent digital holography (IDH) is a technique to obtain a three-dimensional (3D) image of spatially incoherent light diffracted from an object as an incoherent hologram. High-speed image sensing and robustness against external vibrations are important factors when constructing a multidimensional IDH system. Single-shot IDH using single-shot phase-shifting interferometry has been proposed as an IDH technique to satisfy the factors. Full color holographic 3D motion-picture imaging of daily-use light at a frame rate of a color polarization-imaging camera can be achieved by the combination of IDH and single-shot phase-shifting. We show experimental results for color 3D motion-picture imaging in the presentation.

Keywords
Incoherent digital holography
3D motion-picture imaging
Color imaging
Manuscript
Oral Presentation
Poster
Presentation(TT).pdf
Fabrication and analysis of 3D low THz metamaterials
An Efficient Designing of IIR Filter for ECG Signal Classification Using MATLAB