Image deblurring is an important topic in imaging science. In this review, we consider
together fluorescence microscopy and optical/infrared astronomy because of two common …

Inverse problems with Poisson data arise in many photonic imaging modalities in medicine,
engineering and astronomy. The design of regularization methods and estimators for such …

In this paper, we consider a variational restoration model consisting of the I-divergence as
data fitting term and the total variation semi-norm or nonlocal means as regularizer for …

Speckle noise contamination is a common issue in ultrasound imaging system. Due to the
edge-preserving feature, total variation (TV) regularization-based techniques have been …

PET measurements of tracers with a lower dose rate or short radioactive half life suffer from
extremely low SNRs. In these cases standard reconstruction methods (OSEM, EM, filtered …

This paper deals with denoising of density images with bad Poisson statistics (low count
rates), where the reconstruction of the major structures seems the only reasonable task …

We address the task of reconstructing images corrupted by Poisson noise, which is
important in various applications such as fluorescence microscopy (Dey et al., 3D …

Measurements in nanoscopic imaging suffer from blurring effects modeled with different
point spread functions (PSF). Some apparatus even have PSFs that are locally dependent …

In this paper, we consider 3D Bioluminescence tomography (BLT) source reconstruction
from Poisson data in three dimensional space. With a priori information of sources sparsity …

Measurements in nanoscopic imaging suffer from blurring effects concerning different point
spread functions (PSF). Some apparatus even have PSFs that are locally dependent on …