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Digital in-line particle holography: twin-image suppression using sparse blind source separation

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Abstract

We propose a robust autofocus method for reconstructing digital holograms and twin-image removal based on blind source separation approach. The method is made up of two components: an efficient quincunx lifting scheme based on wavelet packet transform, whose role is to maximize a sharpness metric related to the sparseness of the input holograms, and a geometric unmixing algorithm, which achieves the separation task. Experimental results confirm the ability of sparse blind source separation to discard the unwanted twin-image from in-line digital holograms of particles.

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Authors and Affiliations

  1. Ecole Nationale d’ingénieurs de Tunis ENIT, Tunis, Tunisia

    Jamel Hattay

  2. Faculty of Sciences, University of Monastir, Monastir, Tunisia

    Samir Belaid & Wady Naanaa

  3. Coria, University of Rouen, Rouen, France

    Denis Lebrun

Authors
  1. Jamel Hattay
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  2. Samir Belaid
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  3. Denis Lebrun
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  4. Wady Naanaa
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Correspondence to Jamel Hattay.

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Hattay, J., Belaid, S., Lebrun, D. et al. Digital in-line particle holography: twin-image suppression using sparse blind source separation. SIViP 9, 1767–1774 (2015). https://doi.org/10.1007/s11760-014-0646-3

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  • DOI: https://doi.org/10.1007/s11760-014-0646-3

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