Image deblurring with Poisson data: from cells to galaxies
By Mario Bertero, Patrizia Boccacci, Gabriele Desidera, Giuseppe Vicidomini. 2009
345 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Mechanics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/8de76e01af6c3d5befa801e7795bb50d5938fe23
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Computational Mechanics
- Ioannis Mitliagkas
- Issam Hadj Laradji
- Nicolas Loizou
- Jérôme Bolte
- Heinz H. Bauschke
- Ryan D'Orazio
- Marc Teboulle
- Quang Van Nguyen
In Computer Vision and Pattern Recognition
- Ryan D'Orazio
- Marc Teboulle
- Nicolas Loizou
- Jérôme Bolte
- Ioannis Mitliagkas
- Issam Hadj Laradji
- Lei Zhang
- Julien Mairal
Citations in the corpus
- Forward-Backward Splitting with Bregman Distances (2015, background): “For instance, when X and Y are Euclidean spaces and g is Boltzmann-Shannon entropy, it captures many problems in information theory and signal recovery [10].”
- A Descent Lemma Beyond Lipschitz Gradient Continuity: First-Order Methods Revisited and Applications (2017, methodology): “[8] for a more recent review, which includes more than 130 references.”
- Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize (2021, background): “Several applications of interest are not smooth but relatively smooth, e.g. , algorithmic game theory (Birnbaum et al., 2011); Poisson inverse problems (Bertero et al., 2009); and more (Lu et al., 2018).”