For improving the prior discrete Fourier transform (PDFT) algorithm in reconstructing small-
scale portions of interest in a compactly-supported function from limited Fouriertransform …

The ambiguity involved in reconstructing an image from limited Fourier data is removed
using a new technique that incorporates prior knowledge of the location of regions …

The ambiguity involved in reconstructing an image from limited Fourier data is removed
using a new technique that incorporates prior knowledge of the location of regions …

In many scientific frameworks (eg, radio and high energy astronomy, medical imaging) the
data at one's disposal are encoded in the form of sparse and nonuniform samples of the …

In several scientific areas, such as radio astronomy, computed tomography, and magnetic
resonance imaging,[9], the reconstruction of structured functions from the knowledge of …

In many scientific frameworks (eg, radio and high energy astronomy, medical imaging) the
data at one's disposal are encoded in the form of sparse and nonuniform samples of the …

The problem of reconstructing an image from irregular (not on a cartesian grid) samples of
its 2-D DTFT arises in synthetic aperture radar (SAR) and magnetic resonance imaging …

We propose in this paper a novel two-stage projection correction modeling (PCM)
framework for image reconstruction from (nonuniform) Fourier measurements. PCM consists …

Computational optical sectioning is a method for reconstructing 3-D images of living
biological structures from data acquired via light microscopy as a series of 2-D images taken …

We derive a new relation between the discrete Fourier transform of a discrete sampling set
of a compactly supported function and its Fourier transform. From this relation, we obtain a …