- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Deep learning approach for denoising low-SNR correlation plenoptic images ; volume:13 ; number:1 ; day:10 ; month:11 ; year:2023 ; pages:1-9 ; date:12.2023
Scientific reports ; 13, Heft 1 (10.11.2023), 1-9, 12.2023
- Creator
-
Scattarella, Francesco
Diacono, Domenico
Monaco, Alfonso
Amoroso, Nicola
Bellantuono, Loredana
Massaro, Gianlorenzo
Pepe, Francesco V.
Tangaro, Sabina
Bellotti, Roberto
D’Angelo, Milena
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-46765-x
- URN
-
urn:nbn:de:101:1-2024012914552917117557
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Scattarella, Francesco
- Diacono, Domenico
- Monaco, Alfonso
- Amoroso, Nicola
- Bellantuono, Loredana
- Massaro, Gianlorenzo
- Pepe, Francesco V.
- Tangaro, Sabina
- Bellotti, Roberto
- D’Angelo, Milena
- SpringerLink (Online service)
Other Objects (12)
Real-time denoising of ultrasound images based on deep learning
A DENOISING OF BIOMEDICAL IMAGES
Bayesian Image Denoising with Multiple Noisy Images
Deep learning–based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance
Denoising of digital images through PSO based pixel classification
Noise2Atom: unsupervised denoising for scanning transmission electron microscopy images
Deep residual learning for denoising Monte Carlo renderings
Denoising and Segmentation of MCT Slice Images of Leather Fiber
Image Denoising And Segmentation Approchto Detect Tumor From BRAINMRI Images
Deep unfolding multi-scale regularizer network for image denoising
A survey on deep learning-based Monte Carlo denoising
Deep Learning for Spectroscopic X‐ray Nano‐Imaging Denoising
Real-time denoising of ultrasound images based on deep learning
A DENOISING OF BIOMEDICAL IMAGES
Bayesian Image Denoising with Multiple Noisy Images
Deep learning–based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance
Denoising of digital images through PSO based pixel classification
Noise2Atom: unsupervised denoising for scanning transmission electron microscopy images
Deep residual learning for denoising Monte Carlo renderings
Denoising and Segmentation of MCT Slice Images of Leather Fiber
Image Denoising And Segmentation Approchto Detect Tumor From BRAINMRI Images
Deep unfolding multi-scale regularizer network for image denoising
A survey on deep learning-based Monte Carlo denoising
Deep Learning for Spectroscopic X‐ray Nano‐Imaging Denoising
Real-time denoising of ultrasound images based on deep learning
A DENOISING OF BIOMEDICAL IMAGES
Bayesian Image Denoising with Multiple Noisy Images
Deep learning–based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance
Denoising of digital images through PSO based pixel classification
Noise2Atom: unsupervised denoising for scanning transmission electron microscopy images
Deep residual learning for denoising Monte Carlo renderings
Denoising and Segmentation of MCT Slice Images of Leather Fiber
Image Denoising And Segmentation Approchto Detect Tumor From BRAINMRI Images
Deep unfolding multi-scale regularizer network for image denoising
A survey on deep learning-based Monte Carlo denoising