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Noise reduction in OCT skin images

Turani, Z ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1117/12.2255548
  3. Abstract:
  4. OCT skin images suffer from artifacts. Speckle is the main artifact while the other one is called background noise. In this study, we propose an algorithm that significantly reduces the background noise before applying a speckle reduction method. The results show that the diagnostically relevant features in the images become clearer after applying the proposed method. We used sub-pixel weighted median filtering for speckle reduction. The results from background noise removal in combination with the proposed speckle reduction algorithm show a significant improvement in the clarity of diagnostically relevant features in in-vivo human skin images. © 2017 SPIE
  5. Keywords:
  6. Filtering ; Optical coherence tomography ; Filtration ; Image enhancement ; Image processing ; Median filters ; Medical applications ; Medical imaging ; Molecular imaging ; Noise abatement ; Optical data processing ; Optical tomography ; Skin ; Speckle ; Background noise ; In-vivo human skin ; Noise removal ; Relevant features ; Skin images ; Speckle reduction ; Sub pixels ; Weighted median filtering ; Image denoising
  7. Source: Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 12 February 2017 through 14 February 2017 ; Volume 10137 , 2017 ; 16057422 (ISSN) ; 9781510607194 (ISBN)
  8. URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10137/1013724/Noise-reduction-in-OCT-skin-images/10.1117/12.2255548.short?SSO=1