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TIT
2002
99views more  TIT 2002»
13 years 4 months ago
Poisson intensity estimation for tomographic data using a wavelet shrinkage approach
We consider a two-dimensional problem of positron emission tomography where the random mechanism of the generation of the tomographic data is modeled by Poisson processes. The goa...
L. Cavalier, Ja-Yong Koo
ICASSP
2009
IEEE
13 years 11 months ago
SkellamShrink: Poisson intensity estimation for vector-valued data
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in...
Keigo Hirakawa, Patrick J. Wolfe
CIMAGING
2009
145views Hardware» more  CIMAGING 2009»
13 years 5 months ago
Wavelet-based Poisson rate estimation using the Skellam distribution
Owing to the stochastic nature of discrete processes such as photon counts in imaging, real-world data measurements often exhibit heteroscedastic behavior. In particular, time ser...
Keigo Hirakawa, Farhan A. Baqai, Patrick J. Wolfe
ICIP
2009
IEEE
14 years 5 months ago
Efficient Multivariate Skellam Shrinkage For Denoising Photon-limited Image Data: An Empirical Bayes Approach
In this article we address the issue of denoising photon-limited image data by deriving new and efficient multivariate Bayesian estimators that approximate the conditional expecta...
ISBI
2009
IEEE
13 years 11 months ago
Fast Haar-Wavelet Denoising of Multidimensional Fluorescence Microscopy Data
We propose a novel denoising algorithm to reduce the Poisson noise that is typically dominant in fluorescence microscopy data. To process large datasets at a low computational co...
Florian Luisier, Cédric Vonesch, Thierry Bl...