Structure Assisted Compressed Sensing Reconstruction of Undersampled AFM Images

Bidragets oversatte titel: Struktur-assisteret compressed sensing rekonstruktion af under-samplede AFM-billeder

Christian Schou Oxvig, Thomas Arildsen, Torben Larsen

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

16 Citationer (Scopus)

Abstrakt

The use of compressed sensing in atomic force microscopy (AFM) can potentially speed-up image acquisition, lower probe-specimen interaction, or enable super resolution imaging. The idea in compressed sensing for AFM is to spatially undersample the specimen, i.e. only acquire a small fraction of the full image of it, and then use advanced computational techniques to reconstruct the remaining part of the image whenever this is possible. Our initial experiments have shown that it is possible to leverage inherent structure in acquired AFM images to improve image reconstruction. Thus, we have studied structure in the discrete cosine transform coefficients of typical AFM images. Based on this study, we propose a generic support structure model that may be used to improve the quality of the reconstructed AFM images. Furthermore, we propose a modification to the established iterative thresholding reconstruction algorithms that enables the use of our proposed structure model in the reconstruction process. Through a large set of reconstructions, the general reconstruction capability improvement achievable using our structured model is shown both quantitatively and qualitatively. Specifically, our experiments show that our proposed algorithm improves over established iterative thresholding algorithms by being able to reconstruct AFM images to a comparable quality using fewer measurements or equivalently obtaining a more detailed reconstruction for a fixed number of measurements.
Bidragets oversatte titelStruktur-assisteret compressed sensing rekonstruktion af under-samplede AFM-billeder
OriginalsprogEngelsk
TidsskriftUltramicroscopy
Vol/bind172
Sider (fra-til)1-9
ISSN0304-3991
DOI
StatusUdgivet - jan. 2017

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  • Projekter

    FastAFM: Enabling Fast Image Acquisition for Atomic Force Microscopy using Compressed Sensing

    Larsen, T., Østergaard, J., Jensen, T., Arildsen, T., Oxvig, C. S. & Pedersen, P. S.

    01/09/201331/08/2016

    Projekter: ProjektForskning

    Aktiviteter

    • 1 Gæsteophold ved andre institutioner

    Cambridge University

    Thomas Arildsen (Gæsteforsker)

    20 sep. 201622 sep. 2016

    Aktivitet: Gæsteophold ved andre institutioner

    Citationsformater