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Noise removal from raw OCT images achieved using an OCT system operating in the bandwidth 827 nm-873 nm
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Paper Abstract

An image processing algorithm that improves the quality of Optical Coherence Tomographic (OCT) image by reducing its noise is presented. The algorithm consists of: bilateral, anisotropic, Gaussian unsharping mask filters and contrast stretch. A Michelson interferometer is used in the process of raw OCT images acquiring. The OCT configuration is driven by a swept optical source Superlum BS-840. Acquired raw OCT images are employed as input data to test the image process algorithm. Demonstrative images showing a comparison between raw OCT images and reconstructed images are presented.

Paper Details

Date Published: 31 December 2018
PDF: 5 pages
Proc. SPIE 10977, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies IX, 109770N (31 December 2018); doi: 10.1117/12.2323488
Show Author Affiliations
Florin Toadere, National Institute for Research and Development of Isotopic and Molecular Technologies (Romania)
Nicoleta Tosa, National Institute for Research and Development of Isotopic and Molecular Technologies (Romania)


Published in SPIE Proceedings Vol. 10977:
Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies IX
Marian Vladescu; Razvan D. Tamas; Ionica Cristea, Editor(s)

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