Title
Patch-based nonlocal functional for denoising fluorescence microscopy image sequences.
Abstract
We present a nonparametric regression method for denoising 3-D image sequences acquired via fluorescence microscopy. The proposed method exploits the redundancy of the 3-D+time information to improve the signal-to-noise ratio of images corrupted by Poisson-Gaussian noise. A variance stabilization transform is first applied to the image-data to remove the dependence between the mean and variance of...
Year
DOI
Venue
2010
10.1109/TMI.2009.2033991
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Noise reduction,Fluorescence,Microscopy,Image sequences,Signal to noise ratio,Protein engineering,Mathematics,Deconvolution,Additive noise,Motion estimation
Noise reduction,Computer vision,Mathematical optimization,Signal-to-noise ratio,Nonparametric regression,Deconvolution,Artificial intelligence,Real image,Energy functional,Motion estimation,Gaussian noise,Mathematics
Journal
Volume
Issue
ISSN
29
2
0278-0062
Citations 
PageRank 
References 
18
0.98
31
Authors
6
Name
Order
Citations
PageRank
Jérôme Boulanger138428.88
Charles Kervrann293467.36
Patrick Bouthemy32675286.70
Peter Elbau4202.06
Jean-Baptiste Sibarita5282.17
Jean Salamero6496.83