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Modified compressive sensing optical coherence tomography with noise reduction

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Abstract

We study noise reduction using modified compressive sensing optical coherence tomography. We show that averaged modified compressed sensing (CS) reconstruction achieves better image quality in terms of signal-to-noise ratio, local contrast, and contrast-to-noise ratio, compared to the classical averaging method while reducing the total amount of data required to reconstruct the images. The same is also true when compared with standard CS-based averaging method with the same amount of undersampled data.

© 2012 Optical Society of America

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