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Wavelet tree structure based speckle noise removal for optical coherence tomography
Author(s): Xin Yuan; Xuan Liu; Yang Liu
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Paper Abstract

We report a new speckle noise removal algorithm in optical coherence tomography (OCT). Though wavelet domain thresholding algorithms have demonstrated superior advantages in suppressing noise magnitude and preserving image sharpness in OCT, the wavelet tree structure has not been investigated in previous applications. In this work, we propose an adaptive wavelet thresholding algorithm via exploiting the tree structure in wavelet coefficients to remove the speckle noise in OCT images. The threshold for each wavelet band is adaptively selected following a special rule to retain the structure of the image across different wavelet layers. Our results demonstrate that the proposed algorithm outperforms conventional wavelet thresholding, with significant advantages in preserving image features.

Paper Details

Date Published: 14 February 2018
PDF: 7 pages
Proc. SPIE 10483, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII, 104832Q (14 February 2018); doi: 10.1117/12.2290760
Show Author Affiliations
Xin Yuan, Nokia Bell Labs (United States)
Xuan Liu, New Jersey Institute of Technology (United States)
Yang Liu, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 10483:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII
Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin, Editor(s)

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