A novel sparsity reconstruction method from Poisson data for 3D bioluminescence tomography

DOI10.1007/s10915-011-9533-zzbMath1251.92028OpenAlexW1993032016WikidataQ57397266 ScholiaQ57397266MaRDI QIDQ427195

Yujie Lu, Xiaoqun Zhang, Tony F. Chan

Publication date: 13 June 2012

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10915-011-9533-z

zbMATH Keywords

Poisson noiseorthogonal matching pursuitsource reconstruction\(\ell ^{0}\) regularization

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Biomedical imaging and signal processing (92C55) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Computational methods for problems pertaining to biology (92-08)

Related Items

Poisson Noise Reduction with Higher-Order Natural Image Prior Model ⋮ Total Variation--Based Phase Retrieval for Poisson Noise Removal ⋮ A new proximal iterative hard thresholding method with extrapolation for \(\ell _0\) minimization

Uses Software

• SPIRAL

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