Image priors based on products have been recognized to offer many advantages because
they allow simultaneous enforcement of multiple constraints. However, they are …

Though very frequently assumed, the necessity to operate a joint processing of
simultaneous magnetoencephalography (MEG) and electroencephalography (EEG) …

The Poisson--Gaussian model can accurately describe the noise present in a number of
imaging systems. However most existing restoration methods rely on approximations of the …

This paper is concerned with the reconstruction of images (or signals) from incomplete,
noisy data, obtained at the output of an observation system. The solution is defined in …

A Markov random field (MRF) model-based EM (expectation-maximization) procedure for
simultaneously estimating the degradation model and restoring the image is described. The …

We have an M*N real-valued arbitrary matrix A (eg, a dictionary) with M<N and data d
describing the sought-after object with the help of A. This work provides an in-depth analysis …

We present a novel approach to the tomographic reconstruction of binary objects from few
projection directions within a limited range of angles. A quadratic objective functional over …

In this paper, we propose a method to simultaneously restore and to segment piecewise
homogeneous images degraded by a known point spread function (PSF) and additive noise …

Image deblurring is essential in high resolution imaging, eg, astronomy, microscopy or
computational photography. Shift-invariant blur is fully characterized by a single point …

This paper explores the use of a semi-automated multiple-criteria calibration approach for
estimating the parameters of the spatially distributed HL-DHM model to the Blue River basin …