Paper
21 August 2023 Reducing ringing artefact in fresnel digital holography using compressed sensing
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Abstract
Compressed sensing is a signal processing technique used for signal reconstruction with significantly smaller number of samples than the requirements of the Nyquist-Shannon theorem. In this work, we simulate a lensless digital holographic system. We investigate the ringing-like artefact introduced by truncation by the camera aperture. We present the results of using the orthogonal matching pursuit based compressed sensing algorithms to combat this ringing-like artefact. We demonstrate that compressed sensing achieves remarkable reconstructions and suppresses ringing well, but only up to a point in terms of the size of the aperture. This research could help the advancement of compressive digital holography.
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Yue Wang and John J. Healy "Reducing ringing artefact in fresnel digital holography using compressed sensing", Proc. SPIE 12783, International Conference on Images, Signals, and Computing (ICISC 2023), 1278308 (21 August 2023); https://doi.org/10.1117/12.2691819
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KEYWORDS
Digital holography

Holograms

Matrices

Compressed sensing

3D image reconstruction

Reconstruction algorithms

Holography

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