Data-Proximal Complementary ℓ1-TV Reconstruction for Limited Data Computed Tomography
Simon Göppel,
Jürgen Frikel,
Markus Haltmeier
Abstract:In a number of tomographic applications, data cannot be fully acquired, resulting in severely underdetermined image reconstruction. Conventional methods in such cases lead to reconstructions with significant artifacts. To overcome these artifacts, regularization methods are applied that incorporate additional information. An important example is TV reconstruction, which is known to be efficient in compensating for missing data and reducing reconstruction artifacts. On the other hand, tomographic data are also … Show more
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