@inproceedings{51eed8d14f6b44ffbf134db7a0ff7e52,
title = "Wavelet tree structure based speckle noise removal for optical coherence tomography",
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.",
keywords = "OCT, image reconstruction-restoration, noise in imaging systems",
author = "Xin Yuan and Xuan Liu and Yang Liu",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII 2018 ; Conference date: 29-01-2018 Through 31-01-2018",
year = "2018",
doi = "10.1117/12.2290760",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Tuchin, {Valery V.} and Tuchin, {Valery V.} and Fujimoto, {James G.} and Izatt, {Joseph A.}",
booktitle = "Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII",
address = "United States",
}