An improved OCT retinal image denoising algorithm based on variational image decomposition

Zhuo Li; Jun Zhang; Biyuan Li; Jianqiang Mei; Xinchun Zhao; Binghui Li

doi:10.1117/12.2680202

27 June 2023 An improved OCT retinal image denoising algorithm based on variational image decomposition

Zhuo Li, Jun Zhang, Biyuan Li, Jianqiang Mei, Xinchun Zhao, Binghui Li

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 1270526 (2023) https://doi.org/10.1117/12.2680202
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

Optical Coherence Tomography (OCT) has become an important auxiliary diagnostic technology in the field of fundus disease detection due to its advantages of high resolution and high penetration depth. However, speckle noise exists in retinal images acquired by OCT. It is a difficult problem for OCT image processing technology to keep the middle layer structure information in the process of OCT image denoising. A novel OCT retinal image denoising method based on Gaussian mixture model and variational image decomposition is proposed. Firstly, the proposed BL-G-BM3D variational image decomposition model is used to initially denoise OCT images, and then the Gaussian mixture model is used to cluster the initial denoising results to obtain binary masks that can distinguish background and structure. Finally, the final denoising results are obtained by multiplying the mask image with the initial denoising results. An OCT retinal image with high noise and low contrast was tested and compared with five commonly used denoising methods. The results show that the proposed method can achieve both de-noising effect and laminar structure preservation for high-noise OCT retinal images.

Citation Download Citation

Zhuo Li, Jun Zhang, Biyuan Li, Jianqiang Mei, Xinchun Zhao, and Binghui Li "An improved OCT retinal image denoising algorithm based on variational image decomposition", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 1270526 (27 June 2023); https://doi.org/10.1117/12.2680202

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Optical coherence tomography

Denoising

Image processing

Image denoising

Speckle

Background noise

Mixtures

Show All Keywords

Keywords/Phrases

Search In:

Publication Years