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Digital holographic three-dimensional imaging spectrometry
Sirawit Teeranutranont1, Kyu Yoshimori
1Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Iwate University, Ueda 4-3-5, Morioka, Iwate 020-8551, Japan. sirawit@ql.cis.iwate‐u.ac.jp
Applied Optics
|January 8, 2013
Summary
This study introduces a novel interferometric technique to create hypermultispectral three-dimensional (3D) images. The method successfully reconstructs 3D spectral images, aiding in material identification under white light illumination.
Area of Science:
- Optics and Photonics
- Computational Imaging
- Spectroscopy
Background:
- Three-dimensional (3D) imaging is crucial for various scientific fields.
- Characterizing objects with continuous spectra and complex spatial arrangements presents challenges.
- Existing techniques may lack the resolution or spectral information needed for detailed analysis.
Purpose of the Study:
- To develop and test a fully interferometric technique for obtaining hypermultispectral components of 3D images.
- To demonstrate the capability of reconstructing 3D images with detailed spectral information.
- To explore the potential for material identification using the acquired spectral data.
Main Methods:
- A five-dimensional (5D) interferogram was measured for a polychromatic object with spatially incoherent planar light sources.
- Synthetic aperture technique and spectral decomposition were applied to the 5D interferogram.
- Complex holograms of different spectral components were generated to retrieve 3D spectral images.
Main Results:
- The technique successfully obtained hypermultispectral components of 3D images.
- A set of complex holograms for various spectral components was generated.
- 3D images of multiple spectral components were retrieved, and decomposed spectra of light sources were presented.
Conclusions:
- The developed interferometric method enables the acquisition of hypermultispectral 3D image data.
- The technique shows potential for identifying materials by analyzing decomposed continuous spectra.
- This approach offers a new avenue for detailed 3D object characterization and analysis.
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