The reconstruction of an object from an image formed by an idealized optical system is
considered. The problem is well known to be ill posed, and so Tikhonov regularization is …

A general approach to the image restoration problem is presented on the basis of the
method of least squares. Inverse filtering, minimum mean-square-error restoration …

We derive a regularization term for iterative image reconstruction algorithms based on the
histogram of the residual difference between a forward-model image of a given object …

The problem of object restoration in the case of spatially incoherent illumination is
considered. A regularized solution to the inverse problem is obtained through a probabilistic …

The problem of the optimal use of object model information in image reconstruction is
addressed. A closed-form solution for the estimated object spectrum is derived with the …

We define a computer algorithm for obtaining physically maximum-probable estimates of
incoherent object scenes from their photon-count imges. The aim is to combine Bayesian …

h(x)= ft(xs)o(s)ds. Page 1 ~.otumc 9, number 3 OPTICS COMMUNICATIONS November 1973
APPLICATION OF THE TICHONOV REGULARIZATION ALGORITHM TO OBJECT …

The ill-posed problem of restoring object information from finitely many measurements of its
spectrum can be solved by using the best approximation in Hilbert spaces appropriately …

On the regularization of linear inverse problems in Fourier optics Page 1 ON THE
REGULARIZATION OF LINEAR INVERSE PROBLEMS IN FOURIER OPTICS M. Bertero , C. De …

Using the regularization theory for improperly posed problems, we discuss object restoration
beyond the diffraction limit in the presence of noise. Only the case of one-dimensional …