Adaptive wavelet thresholding for optical coherence tomography image denoising
Document Type
Conference Proceeding
Publication Date
1-1-2017
Abstract
For noise reduction in optical coherence tomography (OCT) image, wavelet domain thresholding has the unique advantage of suppressing noise while preserving image sharpness. However, previous applications of wavelet domain thresholding did not consider the fact that speckle noise has different characteristics in different spatial scales. In this study, we demonstrate a noise adaptive wavelet thresholding (NAWT) technology that exploits the difference in noise characteristics in different wavelet sub-bands. Our results demonstrated that NAWT outperforms conventional wavelet thresholding.
Identifier
85026325298 (Scopus)
ISBN
[9781943580293]
Publication Title
Optics Infobase Conference Papers
External Full Text Location
https://doi.org/10.1364/COSI.2017.CTh4B.4
e-ISSN
21622701
Volume
Part F46-COSI 2017
Recommended Citation
Zaki, Farzana; Wang, Yahui; Yuan, Xin; and Liu, Xuan, "Adaptive wavelet thresholding for optical coherence tomography image denoising" (2017). Faculty Publications. 9993.
https://digitalcommons.njit.edu/fac_pubs/9993
