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Updated: Jun 22, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Compression of digital holograms of three-dimensional objects using wavelets.

Alison Shortt, Thomas J Naughton, Bahram Javidi

|June 12, 2009

Summary

This study introduces wavelet analysis for compressing complex-valued digital holograms. The method uses thresholding and quantization for efficient data reduction.

Area of Science:

Digital holography
Signal processing
Image compression

Background:

Digital holograms capture 3D information.
Compression is crucial for storing and transmitting holographic data.
Wavelet analysis is a powerful tool for signal decomposition.

Purpose of the Study:

To apply wavelet analysis for the first time to compress complex-valued digital holograms.
To evaluate the effectiveness of wavelet-based compression for 3D object holograms.

Main Methods:

Wavelet transform applied to complex-valued digital holograms.
Compression achieved via thresholding and quantization of wavelet coefficients.
Lossless encoding of the processed wavelet data.

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Last Updated: Jun 22, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

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Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

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Main Results:

Successful compression of complex-valued digital holograms was demonstrated.
Wavelet analysis provides an effective method for holographic data reduction.
The proposed method preserves essential holographic information.

Conclusions:

Wavelet analysis is a viable technique for digital hologram compression.
This approach offers a novel solution for managing large holographic datasets.
Further research can explore optimized wavelet families and quantization strategies.