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

被引:2
作者
Yu, Xiaojun [1 ]
Ge, Chenkun [1 ]
Fu, Zixuan [1 ]
Aziz, Muhammad Zulkifal [1 ]
Liu, Linbo [2 ]
机构
[1] Northwestern Polytech Univ, Sch Automat, Xian 710072, Shaanxi, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源
2021 IEEE 9TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND NETWORKS (ICICN 2021) | 2021年
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
OCT; speckle denoising; noise distribution; noise reduction; OPTICAL COHERENCE TOMOGRAPHY;
D O I
10.1109/ICICN52636.2021.9673974
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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 two-step 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.
引用
收藏
页码:501 / 505
页数:5
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