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Mojette transform on densest lattices in 2D and 3D. (English) Zbl 1430.94034

Kropatsch, Walter G. (ed.) et al., Discrete geometry for computer imagery. 20th IAPR international conference, DGCI 2017, Vienna, Austria, September 19–21, 2017. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 10502, 159-170 (2017).
Summary: The Mojette transform (MT) is an exact discrete form of the Radon transform. It has been originally defined on the lattice \(Z^n\) (where \(n\) is the dimension). We propose to study this transform when using the densest lattices for the dimensions 2 and 3, namely the lattice \(A^2\) and the face-centered cubic lattice \(A^3\). In order to compare the legacy MT using \(Z^n\), versus the new MT using \(A^n\), we define a fair comparison methodology between the two MT schemes. In particular we detail how to generate the projection angles by exploiting the lattice symmetries and by reordering the Haros-Farey series. Statistic criteria have been also defined to analyse the information distribution on the projections. The experimental results study shows the specific nature of the information distribution on the MT projections due to the high compacity of the \(A^n\) lattices.
For the entire collection see [Zbl 1369.68030].

MSC:

94A08 Image processing (compression, reconstruction, etc.) in information and communication theory
44A12 Radon transform