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Compressed Sensing with off-axis frequency-shifting holography

Abstract : This work reveals an experimental microscopy acquisition scheme successfully combining Compressed Sensing (CS) and digital holography in off-axis and frequency-shifting conditions. CS is a recent data acquisition theory involving signal reconstruction from randomly undersampled measurements, exploiting the fact that most images present some compact structure and redundancy. We propose a genuine CS-based imaging scheme for sparse gradient images, acquiring a diffraction map of the optical field with holographic microscopy and recovering the signal from as little as 7% of random measurements. We report experimental results demonstrating how CS can lead to an elegant and effective way to reconstruct images, opening the door for new microscopy applications.
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Contributor : Marcio M. Marim <>
Submitted on : Friday, April 2, 2010 - 2:38:22 PM
Last modification on : Wednesday, June 2, 2021 - 4:26:19 PM
Long-term archiving on: : Wednesday, September 8, 2010 - 4:57:46 PM


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Marcio Marim, Michael Atlan, Elsa Angelini, Jean-Christophe Olivo-Marin. Compressed Sensing with off-axis frequency-shifting holography. Optics Letters, Optical Society of America - OSA Publishing, 2010, 35 (6), pp.871-873. ⟨10.1364/OL.35.000871⟩. ⟨hal-00469785⟩



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