Noise adaptive wavelet thresholding for speckle noise removal in optical coherence tomography

Document Type

Article

Publication Date

5-1-2017

Abstract

Optical coherence tomography (OCT) is based on coherence detection of interferometric signals and hence inevitably suffers from speckle noise. To remove speckle noise in OCT images, wavelet domain thresholding has demonstrated significant advantages in suppressing noise magnitude while preserving image sharpness. However, speckle noise in OCT images has different characteristics in different spatial scales, which has not been considered in previous applications of wavelet domain thresholding. In this study, we demonstrate a noise adaptive wavelet thresholding (NAWT) algorithm that exploits the difference of noise characteristics in different wavelet sub-bands. The algorithm is simple, fast, effective and is closely related to the physical origin of speckle noise in OCT image. Our results demonstrate that NAWT outperforms conventional wavelet thresholding.

Identifier

85019016733 (Scopus)

Publication Title

Biomedical Optics Express

External Full Text Location

https://doi.org/10.1364/BOE.8.002720

e-ISSN

21567085

First Page

2720

Last Page

2731

Issue

5

Volume

8

This document is currently not available here.

Share

COinS