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. 2020 Jun 5;20(11):3206. doi: 10.3390/s20113206

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© 2020 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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The first column shows the model from the original data. The second model is corrupted by Gaussian noise. The third column shows most accurate result of the comparison methods using MSE metric. The fourth column shows the result of correcting by the proposed method. The Gaussian noise levels and the comparison method are (a) Cube $σ = 0.3 h$ method CVN, (b) Fandisk $σ = 0.28 h$ method RN, (c) Rocker Arm $σ = 0.3 h$ , and (d) Octhaedron $σ = 0.3 h$ .

The first column shows the model from the original data. The second model is corrupted by Gaussian noise. The third column shows most accurate result of the comparison methods using MSE metric. The fourth column shows the result of correcting by the proposed method. The Gaussian noise levels and the comparison method are (a) Cube $σ = 0.3 h$ method CVN, (b) Fandisk $σ = 0.28 h$ method RN, (c) Rocker Arm $σ = 0.3 h$ , and (d) Octhaedron $σ = 0.3 h$ .