Figure 2.

(a) Data wave (a sine grating), superimposed on [(b), left] a cylindrical object without noise and [(b), right] with 50% noise. Three different approaches for curvature removal were tested; (c) exact kernel deconvolution, (d) horizontal and vertical averaging, and (e) curve fitting. Qualitatively all three approaches perform equally well in the noise-free scenario (left), as well as in the noise scenario (middle). The point-wise percentage error for the noise case is shown in the right column.