TY - GEN
T1 - Adaptive wavelet thresholding for optical coherence tomography image denoising
AU - Zaki, Farzana
AU - Wang, Yahui
AU - Yuan, Xin
AU - Liu, Xuan
N1 - Publisher Copyright:
© 2016 OSA.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85026325298&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026325298&partnerID=8YFLogxK
U2 - 10.1364/COSI.2017.CTh4B.4
DO - 10.1364/COSI.2017.CTh4B.4
M3 - Conference contribution
AN - SCOPUS:85026325298
SN - 9781943580293
T3 - Optics InfoBase Conference Papers
BT - Computational Optical Sensing and Imaging, COSI 2017
PB - Optica Publishing Group (formerly OSA)
T2 - Computational Optical Sensing and Imaging, COSI 2017
Y2 - 26 June 2017 through 29 June 2017
ER -