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Sampling requirements and adaptive spatial averaging for incoherent digital holography
Optics Express
|December 28, 2019
Summary
This study introduces a method to reduce noise in incoherent digital holography (IDH) 3D imaging. By applying spatial averaging based on theoretical sampling requirements, image quality is improved without sacrificing resolution.
Area of Science:
- Optics and Photonics
- Digital Imaging
- Computational Photography
Background:
- Incoherent digital holography (IDH) allows passive 3D imaging with spatially incoherent light.
- Detector noise significantly degrades the quality of reconstructed 3D images in IDH.
Purpose of the Study:
- To derive theoretical sampling requirements for noise reduction in IDH.
- To develop an adaptive spatial averaging technique for enhancing 3D image quality in IDH.
Main Methods:
- Theoretical derivation of sampling requirements for IDH based on recording geometry.
- Development and experimental verification of an adaptive spatial averaging postprocessing technique.
Main Results:
- Noise reduction in IDH is achievable by adjusting spatial averaging based on derived sampling requirements.
- The proposed method effectively reduces noise without compromising the spatial resolution of reconstructed 3D images.
- Experimental results confirm the practical utility and effectiveness of the adaptive spatial averaging technique.
Conclusions:
- The derived theoretical sampling requirements offer crucial insights into noise reduction strategies for IDH.
- Adaptive spatial averaging is a powerful and practical technique for improving the quality of 3D images obtained via incoherent digital holography.
