ArticleLight, science & applications2016
Quasi noise-free digital holography.
Article in Light, science & applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed.
- Overview of Research on Digital Image Denoising Methods.Sensors (Basel, Switzerland) · 2025Review
- Review of computer-generated hologram algorithms for color dynamic holographic three-dimensional display.Light, science & applications · 2022Review
- Deep learning in optical metrology: a review.Light, science & applications · 2022Review
- Machine Learning Assisted Classification of Cell Lines and Cell States on Quantitative Phase Images.Cells · 2021Article
- Article
- Smart filtering of phase residues in noisy wrapped holograms.Scientific reports · 2020Article
- Polychromatic digital holographic microscopy: a quasicoherent-noise-free imaging technique to explore the connectivity of living neuronal networks.Neurophotonics · 2020Article
- Fast and accurate sCMOS noise correction for fluorescence microscopy.Nature communications · 2020Article
- Dictionary Learning Phase Retrieval from Noisy Diffraction Patterns.Sensors (Basel, Switzerland) · 2018Article
- Strategies for reducing speckle noise in digital holography.Light, science & applications · 2018Article
- Ultra-high speed digital micro-mirror device based ptychographic iterative engine method.Biomedical optics express · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the main drawbacks of Digital Holography (DH) is the coherent nature of the light source, which severely corrupts the quality of holographic reconstructions. Although numerous techniques to reduce noise in DH have provided good results, holographic noise suppression remains a challenging task. We propose a novel framework that combines the concepts of encoding multiple uncorrelated digital holograms, block grouping and collaborative filtering to achieve quasi noise-free DH reconstructions. The optimized joint action of these different image-denoising methods permits the removal of up to 98% of the noise while preserving the image contrast. The resulting quality of the hologram reconstructions is comparable to the quality achievable with non-coherent techniques and far beyond the current state of art in DH. Experimental validation is provided for both single-wavelength and multi-wavelength DH, and a comparison with the most used holographic denoising methods is performed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.