Numerical evaluation of subsampling effects on image reconstruction in compressed sensing microscopy

Yoann Le Montagner; Elsa Angelini; Jean-Christophe Olivo-Marin

doi:10.1117/12.893291

27 September 2011 Numerical evaluation of subsampling effects on image reconstruction in compressed sensing microscopy

Yoann Le Montagner, Elsa Angelini, Jean-Christophe Olivo-Marin

Proceedings Volume 8138, Wavelets and Sparsity XIV; 81380H (2011) https://doi.org/10.1117/12.893291
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Yoann Le Montagner, Elsa Angelini, and Jean-Christophe Olivo-Marin "Numerical evaluation of subsampling effects on image reconstruction in compressed sensing microscopy", Proc. SPIE 8138, Wavelets and Sparsity XIV, 81380H (27 September 2011); https://doi.org/10.1117/12.893291

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