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 …

Usually, methods for the inversion of scattered field data rely on linearizing methods such as
the first Born or the Rytov approximations, in order to render the solution numerically …

Abstract Magnetic Resonance Spectroscopic Imaging has the potential to be the first non-
invasive technology to provide in vivo images of metabolite specific processes. Initial …

This thesis deals with frequency estimation for one-dimensional and two-dimensional
sinusoidal signals from a given finite number of samples and a priori information, mostly in …

Numerical methods developed to invert scattered field data are applied in this paper to data
collected from a styrofoam target. The imaging methods used are based on the distorted …

The demand for on-line vision systems capable of performing image analysis at a high
throughput is rapidly increasing. For inspection tasks such as quality assurance where a …

Image reconstruction problems can be viewed as energy minimization problems and can be
mapped onto a Hopfield neural network. For image reconstruction problems the authors …