Digital hologram denoising by filtering in the hologram plane using the Hilbert-Huang transform

Image quality degradation is one of the main problems in Digital Holography. A novel method for noise reduction based on the Hilbert-Huang transform is introduced that reduces the normalized contrast and partially removes the DC-term. It is successfully applied in the hologram plane and requires a single hologram to function. The method causes no reduction in spatial resolution. Moreover, it can be combined with existing noise-filtering methods to improve image quality even further.

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Publication Details

Journal
Annual of Sofia University St Kliment Ohridski Faculty of Mathematics and Informatics
Published
2024-12-04
DOI
https://doi.org/10.60063/gsu.fmi.111.77-90
Primary Topic
Digital Holography and Microscopy
Type
article
Field-Weighted Citation Impact
0.00

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article

Digital hologram denoising by filtering in the hologram plane using the Hilbert-Huang transform

Assen Shulev, Simeon Karpuzov, George Petkov
Annual of Sofia University St Kliment Ohridski Faculty of Mathematics and Informatics
Digital Holography and Microscopy
article

Digital hologram denoising by filtering in the hologram plane using the Hilbert-Huang transform

Assen Shulev, Simeon Karpuzov, George Petkov
article en

Abstract

Image quality degradation is one of the main problems in Digital Holography. A novel method for noise reduction based on the Hilbert-Huang transform is introduced that reduces the normalized contrast and partially removes the DC-term. It is successfully applied in the hologram plane and requires a single hologram to function. The method causes no reduction in spatial resolution. Moreover, it can be combined with existing noise-filtering methods to improve image quality even further.

Annual of Sofia University St Kliment Ohridski Faculty of Mathematics and InformaticsVol. 111
European Commission
Sustainable cities and communities
Openalex Percentile: Top 80%
Digital Holography and Microscopy
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