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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Filtering ESPI Fringe Images with Non-local Means Algorithm
verfasst von : Maciej Wielgus, Krzysztof Patorski
Erschienen in: Fringe 2013
Verlag: Springer Berlin Heidelberg
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The presence of the multiplicative speckle noise, intrinsic to Electronic Speckle Pattern Interferometry (ESPI), limits the quality of ESPI measurements. Of many algorithms proposed to reduce the speckle noise in the image, only few recognize the statistical properties of the speckle noise and the multiplicative relation between the underlying cosinusoidal pattern and the speckle interferogram. Local averaging is a limited approach because of the possibly very high differences between the adjacent pixels in relation to the mean signal value, which corresponds to particularly low signal to noise ratio. In this paper we test an approach based on the non-local means algorithm, which is a global weighted averaging scheme based on the pixels neighborhoods (patches) similarity criterion.