This paper surveys an important class of methods that combine iterative projection methods
and variational regularization methods for large-scale inverse problems. Iterative methods …

Seismic interferometry, also known as Green's function retrieval by crosscorrelation, has a
wide range of applications, ranging from surface-wave tomography using ambient noise, to …

In this paper, we propose a numerical method which can routinely improve the energy
resolution down to 0.2–0.3 eV of electron energy-loss spectra acquired in a transmission …

We derive an algorithm for maximum-likelihood image estimation on the basis of the
expectation-maximization (EM) formalism by using a new approximate model for depth …

Light microscopy of thick biological samples, such as tissues, is often limited by aberrations
caused by refractive index variations within the sample itself. This problem is particularly …

The restoration technology of non-uniform blurred images is a challenging open topic. Most
of the existing algorithms fail to effectively fuse multi-scale feature extraction with a self …

Although image restoration methods based on spectral filtering techniques are very efficient,
they can be applied only to problems with fairly simple spatially invariant blurring operators …

We describe how to efficiently apply a spatially-variant blurring operator using linear
interpolation of measured point spread functions. Numerical experiments illustrate that …

Apparatus for computational adaptive imaging comprises the following: an image
information acquirer, Which provides informa tion relating to the refractive characteristics in a …

In this paper, we present an algorithm for the restoration of images with an unknown,
spatially-varying blur. Existing computational methods for image restoration require the …