Minimal data collection: imaging from limited-angle data using prior knowledge

MA Fiddy, RV McGahan… - … , and Numerical Methods …, 1997 - spiedigitallibrary.org
We describe a method for generating a high resolution image or target identifier from limited
sampled noisy Fourier data. These data are assumed to be collected from either limited …

Optical imaging from scattering data: imaging from Fourier-intensity data

AJ Noushin, MA Fiddy… - … , and Numerical Methods …, 1997 - spiedigitallibrary.org
We discuss the problem associated with obtaining an image of an object from the magnitude
of its Fourier transform. This problem arises in many imaging applications. We discuss some …

Imaging from limited-angle backscattered data from strongly scattering targets

DA Pommet, MA Fiddy, UHW Lammers… - … Methods for Solving …, 1995 - spiedigitallibrary.org
A measurement technique for collecting scattered field data around a small solid angle in
the backscatter direction is described. Given these highpass filtered data, a number of …

Null space regularization and MAP reconstruction in the ill-posed inverse imaging problem

IW Kwee, Y Tanikawa, SG Proskurin… - … in Tissues II, 1996 - spiedigitallibrary.org
The ill-posed inverse problem is not an issue that is only restricted to optical tomography, but
indeed a very common issue in image reconstruction problems in astronomy, geological …

[PDF][PDF] Fundamentals of Inverse Problems

EL Miller, WC Karl - Not yet published, 2003 - ece.northeastern.edu
We consider inverse problem in a very broad sense: the desire to extract information
regarding an unknown quantity based on data related via some type of mathematical model …

Reconstruction of discontinuous solutions from blurred data

A Neubauer, O Scherzer - Computational, Experimental, and …, 1997 - spiedigitallibrary.org
This paper is concerned with the estimation of underlying discontinuous functions from error-
contaminated and blurred observations. Such problems occur in a number of important …

[图书][B] Improving robustness of tomographic reconstruction methods

F Bleichrodt - 2015 - core.ac.uk
In tomographic imaging, a set of projection images is acquired from different view angles by
directing a beam of radiation (eg, X-rays) to the object and recording the intensity profile of …

Imaging with highly incomplete and corrupted data

M Moscoso, A Novikov, G Papanicolaou… - Inverse …, 2020 - iopscience.iop.org
We consider the problem of imaging sparse scenes from a few noisy data using an-
minimization approach. This problem can be cast as a linear system of the form, where is an …

Large-Scale Inverse Problems in Imaging: Two Case Studies

SM Knepper - 2011 - search.proquest.com
Solving inverse problems is an important part of scientific computing. As computers be-come
more powerful, solutions to increasingly larger problems are sought, allowing for more …

[PDF][PDF] Convergence rates and uncertainty quantification for inverse problems

H Kekkonen - 2016 - helda.helsinki.fi
We often encounter situations where it is quite difficult to interpret uniquely our observations
of the world. These observations can be seen as incomplete measurement data but luckily …