Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Advances in Discrete Tomography and Its Applications (Applied and Numerical Harmonic Analysis)
Advances in Discrete Tomography and Its Applications (Applied and Numerical Harmonic Analysis)
Fundamentals of Computerized Tomography: Image Reconstruction from Projections
Fundamentals of Computerized Tomography: Image Reconstruction from Projections
Bounds on the difference between reconstructions in binary tomography
DGCI'11 Proceedings of the 16th IAPR international conference on Discrete geometry for computer imagery
Direction-dependency of binary tomographic reconstruction algorithms
Graphical Models
DART: A Practical Reconstruction Algorithm for Discrete Tomography
IEEE Transactions on Image Processing
Projection selection dependency in binary tomography
Acta Cybernetica
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In this paper we propose a novel strategy for selecting projection angles in binary tomography which yields significantly more accurate reconstructions than others. In contrast with previous works which are of experimental nature, the method we present is based on theoretical observations. We report on experiments for different phantom images to show the effectiveness and roboustness of our procedure. The practically important case of noisy projections is also studied.