TY - GEN
T1 - A two-step filtering mechanism for speckle noise reduction in OCT images
AU - Yu, Xiaojun
AU - Ge, Chenkun
AU - Fu, Zixuan
AU - Aziz, Muhammad Zulkifal
AU - Liu, Linbo
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Optical coherence tomography (OCT) has been widely adopted in various areas for its noninvasive and high-resolution properties. Due to it low-coherence interferometry nature, however, OCT inevitably suffers from speckle noise, which hides structural information in OCT images and thus degrades the clinical diagnosis accuracy. So far various algorithms have been proposed for OCT speckle denoising, yet few studies have evaluated the influences of speckle noise distributions on the denoising effects. This paper studies the influences of speckle noise distributions in OCT despeckling process, and a twostep filtering mechanism, namely, Augmented Lagrange function minimization and Rayleigh alpha-trimmed filtering (AR) scheme, is proposed for OCT speckle noise reductions. The speckle noise distribution models are established and estimated first, and then two different filtering mechanisms are designed for those noise distributions, respectively. Simulations with both synthetic and OCT images are conducted to verify the effectiveness of the AR scheme. Results show that AR method can suppress OCT speckle noises effectively, and outperforms the best existing methods in different cases, yet with less time computations.
AB - Optical coherence tomography (OCT) has been widely adopted in various areas for its noninvasive and high-resolution properties. Due to it low-coherence interferometry nature, however, OCT inevitably suffers from speckle noise, which hides structural information in OCT images and thus degrades the clinical diagnosis accuracy. So far various algorithms have been proposed for OCT speckle denoising, yet few studies have evaluated the influences of speckle noise distributions on the denoising effects. This paper studies the influences of speckle noise distributions in OCT despeckling process, and a twostep filtering mechanism, namely, Augmented Lagrange function minimization and Rayleigh alpha-trimmed filtering (AR) scheme, is proposed for OCT speckle noise reductions. The speckle noise distribution models are established and estimated first, and then two different filtering mechanisms are designed for those noise distributions, respectively. Simulations with both synthetic and OCT images are conducted to verify the effectiveness of the AR scheme. Results show that AR method can suppress OCT speckle noises effectively, and outperforms the best existing methods in different cases, yet with less time computations.
KW - noise distribution
KW - noise reduction
KW - OCT
KW - speckle denoising
UR - http://www.scopus.com/inward/record.url?scp=85125187691&partnerID=8YFLogxK
U2 - 10.1109/ICICN52636.2021.9673974
DO - 10.1109/ICICN52636.2021.9673974
M3 - 会议稿件
AN - SCOPUS:85125187691
T3 - 2021 IEEE 9th International Conference on Information, Communication and Networks, ICICN 2021
SP - 501
EP - 505
BT - 2021 IEEE 9th International Conference on Information, Communication and Networks, ICICN 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Information, Communication and Networks, ICICN 2021
Y2 - 25 November 2021 through 28 November 2021
ER -