Image registration and non-local Poisson principal component analysis (PCA) denoising
improve the quality of characteristic x-ray (EDS) spectrum imaging of Ca-stabilized Nd 2/3 …

This paper discusses new methods for processing images in the photon-limited regime
where the number of photons per pixel is binary. We present a new Bayesian denoising …

In image and signal processing, the beta-divergence is well known as a similarity measure
between two positive objects. However, it is unclear whether or not the distance-like …

This paper investigates different algorithms to perform image restoration from single-photon
measurements corrupted with Poisson noise. The restoration problem is formulated in a …

We solve the ℓ 2-ℓ p sparse recovery problem by transforming the objective function into an
unconstrained differentiable function and apply a limited-memory trust-region method …

Nowadays, the field of network science is of central importance in many real-life applications
spanning from telecommunication, to transportation, social media analysis, neuroscience …

Critical to accurate reconstruction of sparse signals from low-dimensional observations is
the solution of nonlinear optimization problems that promote sparse solutions. Sparse signal …

In this paper, we solve the l2-l1 sparse recovery problem by transforming the objective
function of this problem into an unconstrained differentiable function and apply a limited …