Streaks and Poissonian noise in tomography data are attenuated using a new two-stage multiscale volumetric filtering framework where the degradations are modeled as correlated noise. The procedure is fully automatic,… Click to show full abstract
Streaks and Poissonian noise in tomography data are attenuated using a new two-stage multiscale volumetric filtering framework where the degradations are modeled as correlated noise. The procedure is fully automatic, offers improved feature preservation, and can be further combined with regularized reconstructions to deliver state-of-the-art imaging quality.
               
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