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Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
Published on: July 5, 2016
Local demodulation of holograms using the Riesz transform with application to microscopy
Chandra Sekhar Seelamantula1, Nicolas Pavillon, Christian Depeursinge
1Department of Electrical Engineering, Indian Institute of Science, Bangalore, India. chandra.sekhar@ieee.org
Summary
We introduce a Riesz transform method for digital hologram demodulation. This technique accurately reconstructs phase information, enabling aberration-free holographic imaging even with complex fringe patterns.
Area of Science:
- Optics and Photonics
- Digital Holography
- Image Processing
Background:
- Accurate demodulation of digital holograms is crucial for quantitative phase imaging.
- Existing methods struggle with nonplanar fringes and local orientation variations.
- Quadrature-phase functions are essential for hologram demodulation.
Purpose of the Study:
- To propose a novel Riesz transform-based approach for digital hologram demodulation.
- To develop a method for constructing accurate quadrature-phase functions.
- To achieve aberration-free holographic imaging, particularly for nonplanar wavefronts.
Main Methods:
- Utilized the Riesz transform, a multidimensional extension of the Hilbert transform.
- Constructed a vortex operator using quasi-eigenfunctions to generate accurate quadratures.
- Calibrated the method using a reference hologram and validated on synthesized and real fringe patterns.
Main Results:
- The Riesz transform-based vortex operator successfully generates accurate quadratures.
- The method effectively handles nonplanar fringes and compensates for local orientation.
- High demodulation accuracy was demonstrated on both synthetic and experimental data, including biological samples.
Conclusions:
- The proposed Riesz transform approach provides a robust method for digital hologram demodulation.
- This technique enables aberration-free holographic imaging, overcoming limitations of previous methods.
- The vortex operator offers significant advantages for analyzing complex holographic data.
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