We review advances in Computational Imaging that have occurred since the mid-1990s. The
advent of highly integrated platforms, such as the smartphone, has made the linkage …

Novel approaches to bio‐imaging and automated computational image processing allow the
design of truly quantitative studies in developmental biology. Cell behavior, cell fate …

Restoring a scene distorted by atmospheric turbulence is a challenging problem in video
surveillance. The effect, caused by random, spatially varying, perturbations, makes a model …

PURPOSE: To construct a quantitative model of corneal surface smoothing after laser
ablation for refractive correction. DESIGN: Experimental study, interventional case series …

This paper tackles the problem of image deconvolution with joint estimation of point spread
function (PSF) parameters and hyperparameters. Within a Bayesian framework, the solution …

Context. Extreme adaptive optics systems, such as the Spectro-Polarimetric High-contrast
Exoplanet REsearch facility (SPHERE), push forward the limits in high contrast and high …

Fast acquisition and high axial resolution are two primary requirements for three-
dimensional microscopy. However, they are sometimes conflicting: imaging modalities such …

Product-line architectures (PLAs) designed for mobile devices create a unique challenge for
automated product variant selection engines since variants must be derived on-the-fly as …

We propose a maximum a posteriori blind deconvolution approach using a Huber–Markov
random-field model. Compared with the conventional maximum-likelihood method, our …

We consider a variational formulation of blind image recovery problems. A novel iterative
proximal algorithm is proposed to solve the associated nonconvex minimization problem …