Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Computed tomography image reconstruction from only two projections   English: This paper concerns the image reconstruction from a few projections
in Computed Tomography (CT). The main objective of this paper is to show that
the problem is so ill posed that no classical method, such as analytical
methods based on inverse Radon transform, nor the algebraic methods such as
Least squares (LS) or regularization theory can give satisfactory result. As an
example, we consider in detail the case of image reconstruction from two
horizontal and vertical projections. We then show how a particular composite
Markov modeling and the Bayesian estimation framework can possibly propose
satisfactory solutions to the problem. For demonstration and educational
purpose a set of Matlab programs are given for a live presentation of the
results.
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  French: Ce travail, \`a but p\'edagogique, pr\'esente le probl\`eme inverse
de la reconstruction d'image en tomographie X lorsque le nombre des projections
est tr\`es limit\'e. voir le texte en Anglais et en Fran\c{c}ais.

30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
1
The categories of this paper are: cs
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys