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Proceedings Paper

Numerical evaluation of subsampling effects on image reconstruction in compressed sensing microscopy
Author(s): Yoann Le Montagner; Elsa Angelini; Jean-Christophe Olivo-Marin
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Paper Abstract

When undergoing reconstruction through a compressed sensing scheme, real microscopic images are affected by various artifacts that lead to detail loss. Here, we discuss how the sampling strategy and the subsampling rate affect the compressed sensing reconstruction, and how they should be determined according to a targeted accuracy level of the reconstruction. We investigate the relevance and limits of theoretical results through several numerical reconstructions of test images. We discuss the quantitative and qualitative artifacts that affect the reconstructed signal when reducing the number of measurements in the Fourier domain. We conclude by extending our results to real microscopic images.

Paper Details

Date Published: 27 September 2011
PDF: 12 pages
Proc. SPIE 8138, Wavelets and Sparsity XIV, 81380H (27 September 2011); doi: 10.1117/12.893291
Show Author Affiliations
Yoann Le Montagner, URA, CNRS, Institut Pasteur (France)
LCTI, CNRS, Telecom ParisTech (France)
Elsa Angelini, LCTI, CNRS, Telecom ParisTech (France)
Jean-Christophe Olivo-Marin, URA, CNRS, Institut Pasteur (France)


Published in SPIE Proceedings Vol. 8138:
Wavelets and Sparsity XIV
Manos Papadakis; Dimitri Van De Ville; Vivek K. Goyal, Editor(s)

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