Accelerated, Sparsity-Aware Generalizations of Classical Algorithms for TomoPIV

Ioana Barbu (1) , Cédric Herzet (1)

1 FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences

We set up a generalized optimization framework for the classical Row Action Methods, otherwise customarily employed in the TomoPIV community. This scheme allows us to bypass known caveats of the algebraic programs. The so-enhance methods enable i) handling explicit constraints on the signal; ii) accelerating the rates of convergence. Comparative numerical simulations reveal superior performance of the latter with no inflation of the complexity.

Domaines: Mécanique des fluides [physics.class-ph]; Traitement du signal et de l'image [eess.SP]

Ioana Barbu, Cédric Herzet. Accelerated, Sparsity-Aware Generalizations of Classical Algorithms for TomoPIV. The 11th International Symposium on Particle Image Velocimetry, Sep 2015, Santa Barbara, United States. ⟨hal-01245014v1⟩