M11. Image Restoration Under Poisson Noise
Organizers:
Federico Benvenuto, University of Genoa, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.This email address is being protected from spambots. You need JavaScript enabled to view it.
Yifei Lou, University of North Carolina at Chapel Hill, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Frank Werner, Julius-Maximilians-Universität Würzburg, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Invited Speakers:
Huibin Chang, Tianjin Normal University, P.R. China, This email address is being protected from spambots. You need JavaScript enabled to view it.
Bilinear decomposition based splitting algorithms for curvature driven image restoration
Germana Landi, University of Bologna, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
The Balancing Principle for automatic restoration of Poissonian images
Alessandro Lanza, University of Bologna, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
Novel criteria for automatic solution of inverse problems under low photon-count Poisson noise corruption
Paolo Massa, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland, This email address is being protected from spambots. You need JavaScript enabled to view it.
Predictive risk estimation for inverse problems with Poisson data
Voichita Maxim, CREATIS, INSA de Lyon, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
Pre-conditioned dual algorithm for TV regularization in Compton camera image reconstruction
Monica Pragliola, University of Naples Federico II, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
Whiteness-based parameter selection for Poisson data in variational image processing
Zbigniew Szkutnik, AGH-University of Science and Technology, Poland, This email address is being protected from spambots. You need JavaScript enabled to view it.
Weighted discrepancy principle and adaptivity in Poisson inverse problems