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. 2017 Oct 16;114(44):11639–11644. doi: 10.1073/pnas.1703715114

Fig. S9.

Fig. S9.

Validation of our noise estimation on real data. (A) A frame from a real video of an accelerometer attached to a beam. (B) The accelerometer shows there are no motions in the frequency band 600 Hz to 700 Hz. (C) The variance of our motion estimate in the 600- to 700-Hz band serves as a ground-truth measure of noise, as there are no motions. (D) The estimated noise level vs. intensity for a signal-dependent noise model and a constant noise model. (E) The noise estimate produced by our Monte Carlo simulation with a signal-dependent model. All variances are of the motions projected onto the direction of least variance. Textureless regions, where the motion estimation is not meaningful, have been masked out in black. (F) Difference in decibels between ground truth and E. (G) Noise estimate produced by the Monte Carlo simulation with a constant noise model. (H) Difference in decibels between ground truth and G.