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

Authors

DOI:

https://doi.org/10.60063/gsu.fmi.111.77-90

Keywords:

digital holography, empirical mode decomposition, Hilbert-Huang transform, noise filtering, scattered data interpolation

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.

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Published

2024-12-04

How to Cite

Karpuzov, S., Shulev, A., & Petkov, G. (2024). Digital hologram denoising by filtering in the hologram plane using the Hilbert-Huang transform. Ann. Sofia Univ. Fac. Math. And Inf., 111, 77–90. https://doi.org/10.60063/gsu.fmi.111.77-90

Issue

Vol. 111 (2024): Ann. Sofia Univ. Fac. Math. and Inf.

Section

Articles