Wavelet tree structure based speckle noise removal for optical coherence tomography

Document Type

Conference Proceeding

Publication Date

1-1-2018

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.

Identifier

85045615072 (Scopus)

ISBN

[9781510614512]

Publication Title

Progress in Biomedical Optics and Imaging Proceedings of SPIE

External Full Text Location

https://doi.org/10.1117/12.2290760

ISSN

16057422

Volume

10483

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