2018
DOI: 10.1109/jphot.2017.2787662
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Noise Reduction of Swept-Source Optical Coherence Tomography via Compressed Sensing

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Cited by 6 publications
(8 citation statements)
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“…(6) Repeat step (3) and use a lower light intensity threshold I 2 to find smaller signals. (7) Repeat steps above until the ε is less than the set value, and then obtain the reconstructed signals a(x c , z ), from which we can get S(x c , k) and S(x c , z ). Figure 2i).…”
Section: Reconstruction Procedures Of 2d Compressive Sensing Interfermentioning
confidence: 99%
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“…(6) Repeat step (3) and use a lower light intensity threshold I 2 to find smaller signals. (7) Repeat steps above until the ε is less than the set value, and then obtain the reconstructed signals a(x c , z ), from which we can get S(x c , k) and S(x c , z ). Figure 2i).…”
Section: Reconstruction Procedures Of 2d Compressive Sensing Interfermentioning
confidence: 99%
“…Compressive sensing SD-OCT (CS-SDOCT) has emerged as an increasingly popular research topic with a view to reducing the imaging time and data volume [5][6][7][8][9]. In our previous works and most other studies on CS-SDOCT, the image is reconstructed using a fraction of the wavenumber k domain 1 G [15].…”
Section: Introductionmentioning
confidence: 99%
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