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. Author manuscript; available in PMC: 2016 Sep 7.
Published in final edited form as: SIAM J Imaging Sci. 2015 May 5;8(2):1030–1069. doi: 10.1137/140984002

Figure 5.

Figure 5

Illustration of the course of the optimization for the Picard (top block) and the GN-PCG (bottom block) methods with respect to the (outer) iteration index k for exemplary results of the convergence study reported in Table 6. We refer to Table 6 and the text for details on the experimental setup. We report results for plain H2-regularization (γ = 0), with an empirically chosen regularization parameter of β = 1E–3 for images of grid size nx = (256, 256)⊤. We report results until convergence of the GN-PCG method (k★ = 13). We display the deformed template m1 (top row) and a map of the pointwise difference between mR and m1 (bottom row) for both iterative optimization methods (as identified by the inset on the right of the images). Information on how to interpret these images can be found in Appendix D.