
arXiv: 2310.16557
A novel reconstruction method is introduced for the severely ill-posed inverse problem of limited-angle tomography. It is well known that, depending on the available measurement, angles specify a subset of the wavefront set of the unknown target, while some oriented singularities remain invisible in the data. Topological Interface recovery for Limited-angle Tomography, or TILT, is based on lifting the visible part of the wavefront set under a universal covering map. In the space provided, it is possible to connect the appropriate pieces of the lifted wavefront set correctly using dual-tree complex wavelets, a dedicated metric, and persistent homology. The result is not only a suggested invisible boundary but also a computational representation for all interfaces in the target.
Biomedical imaging and signal processing, limited-angle tomography, non-Euclidean metric, computational topology, Image and Video Processing (eess.IV), Topological data analysis, 65R32, 65T60, 65F22, 92C55, 55N35, tomography, Electrical Engineering and Systems Science - Image and Video Processing, Computing methodologies for image processing, persistent homology, FOS: Electrical engineering, electronic engineering, information engineering, inverse problem, Numerical methods for inverse problems for integral equations
Biomedical imaging and signal processing, limited-angle tomography, non-Euclidean metric, computational topology, Image and Video Processing (eess.IV), Topological data analysis, 65R32, 65T60, 65F22, 92C55, 55N35, tomography, Electrical Engineering and Systems Science - Image and Video Processing, Computing methodologies for image processing, persistent homology, FOS: Electrical engineering, electronic engineering, information engineering, inverse problem, Numerical methods for inverse problems for integral equations
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