Abstract
In this paper, we present a new method for filtering phase fringe patterns in the spatial domain by Chebyshev polynomials of the first kind. With numerical experiments, we determined the optimal number of Chebyshev polynomials for representing the continuous components of the phase map as the sum of polynomials. The accuracy of the proposed filter was determined by filtering a series of difference phase maps of the deformation of a rough object obtained by a computer model. The result was compared with a filter working in the frequency domain.
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Kotsiuba, Y., Fitio, V.M., Petrovska, H., Bobitski, Y.V. (2021). New Effective Filter in the Spatial Domain for Speckle Noise Reduction. In: Fesenko, O., Yatsenko, L. (eds) Nanomaterials and Nanocomposites, Nanostructure Surfaces, and Their Applications . Springer Proceedings in Physics, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-030-51905-6_14
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DOI: https://doi.org/10.1007/978-3-030-51905-6_14
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