Abstract

Compressed sensing-based sampling and scrambling strategies for spectral-domain optical coherence tomography are presented and their performance evaluated. It is shown that the latter can be used for reconstructing both spatially sparse and non-sparse signals.

© 2020 The Author(s)

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More Like This
Multifocal Compressive Sensing Spectral Domain Optical Coherence Tomography Based on Bessel Beam

Luying Yi and Liqun Sun
JTu2A.4 CLEO: Applications and Technology (CLEO_AT) 2019

Image Reconstruction from Nonuniform Samples in Spectral Domain Optical Coherence Tomography

Jun Ke, Rui Zhu, and Edmund Y. Lam
SMD2 Signal Recovery and Synthesis (SRS) 2011

Compressive OCT based on spectral domain random encoding

Yahui Wang and Xuan Liu
JTu2A.108 CLEO: Applications and Technology (CLEO_AT) 2018