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Updated: May 15, 2026
10:28
Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
Published on: July 5, 2016
Overview of compressive sensing techniques applied in holography [Invited]
Yair Rivenson1, Adrian Stern, Bahram Javidi
1Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Applied Optics
|January 8, 2013
Summary
Compressive sensing (CS) enhances digital holography (DH) by enabling accurate object reconstruction from fewer samples. This approach leverages sparse signal representation for efficient data acquisition in holographic sensing.
Area of Science:
- Optics and Photonics
- Signal Processing
- Computational Imaging
Background:
- Digital holography (DH) records holographic information, enabling 3D reconstruction.
- Compressive sensing (CS) reconstructs signals from undersampled data using sparsity.
- Integrating CS with DH offers potential for reduced data acquisition.
Purpose of the Study:
- To provide theoretical guidelines for applying compressive sensing in digital holography.
- To demonstrate the advantages of compressive digital holographic sensing.
Main Methods:
- Overview of theoretical frameworks for CS in DH.
- Experimental or simulation-based demonstration of compressive holographic sensing.
Main Results:
- Accurate object reconstruction is achievable with significantly fewer holographic samples.
- CS effectively exploits the sparse nature of objects for efficient DH.
Conclusions:
- Compressive sensing is a viable and beneficial paradigm for digital holography.
- Compressive digital holographic sensing enables efficient and accurate 3D imaging.
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