Abstract
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.
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References
Goodman, J.: Speckle Phenomena in Optics. Roberts and Company Publishers (2010)
Buades, A., Coll, B., Morel, J.: A Non-Local Algorithm for Image Denoising. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2 (2005)
Wielgus, M., Patorski, K.: Non-local fringe image filtration: a new interferometric data filtration paradigm? Photonics Letters of Poland 4, 66–68 (2012)
Fu, S., Zhang, C.: Fringe pattern denoising using averaging based on nonlocal self-similarity. Optics Communications 285, 2541 (2012)
Deledalle, C.-A., Denis, L., Tupin, F.: Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights. IEEE Transactions on Image Processing 18, 2661–2672 (2009)
Uzan, A., Rivenson, Y., Stern, A.: Speckle denoising in digital holography by nonlocal means filtering. Applied Optics 52, A195–A200 (2013)
Tang, C., Han, L., Ren, H., Zhou, D., Chang, Y., Wang, X., Cui, X.: Second-order oriented partial-differential equations for denoising in electronic-speckle-pattern interferometry fringes. Optics Letters 33, 2179–2181 (2008)
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© 2014 Springer-Verlag Berlin Heidelberg
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Wielgus, M., Patorski, K. (2014). Filtering ESPI Fringe Images with Non-local Means Algorithm. In: Osten, W. (eds) Fringe 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36359-7_55
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DOI: https://doi.org/10.1007/978-3-642-36359-7_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36358-0
Online ISBN: 978-3-642-36359-7
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