A two-step filtering mechanism for speckle noise reduction in OCT images

Xiaojun Yu, Chenkun Ge, Zixuan Fu, Muhammad Zulkifal Aziz, Linbo Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

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.

源语言英语
主期刊名2021 IEEE 9th International Conference on Information, Communication and Networks, ICICN 2021
出版商Institute of Electrical and Electronics Engineers Inc.
501-505
页数5
ISBN(电子版)9780738113456
DOI
出版状态已出版 - 2021
活动9th IEEE International Conference on Information, Communication and Networks, ICICN 2021 - Xi'an, 中国
期限: 25 11月 202128 11月 2021

出版系列

姓名2021 IEEE 9th International Conference on Information, Communication and Networks, ICICN 2021

会议

会议9th IEEE International Conference on Information, Communication and Networks, ICICN 2021
国家/地区中国
Xi'an
时期25/11/2128/11/21

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