Speckle reduction based on fractional-order filtering and boosted singular value shrinkage for optical coherence tomography image-Reference-Cited by-同舟云学术

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Speckle reduction based on fractional-order filtering and boosted singular value shrinkage for optical coherence tomography image

Published:2019-07 Issue: Volume:52 Page:281-292
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Chen Huaiguang,Fu Shujun,Wang Hong,Wang Hong,Li Yuliang,Wang Fengling

Funder

National Natural Science Foundation of China

Science and Technology Development Project of Shandong Province of China

Natural Science Foundation of Shandong Province of China

Taishan Research Project of Shandong Province

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference46 articles.

1. Efficient reduction of speckle noise in optical coherence tomography;Szkulmowski;Opt. Express.,2012

2. Speckle noise reduction algorithm with total variation regularization in optical coherence tomography;Gong;Opt. Express.,2015

3. OCT despeckling via weighted nuclear norm constrained non-local low-rank representation;Tang;Laser Phys. Lett.,2017

4. Speckle noise reduction for optical coherence tomography images via non-local weighted group low-rank representation;Tang;Laser Phys. Lett.,2017

5. Optical coherence tomography retinal image reconstruction via nonlocal weighted sparse representation;Abbasi;J. Biomed. Opt.,2018

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2. Optical coherence tomography image despeckling based on tensor singular value decomposition and fractional edge detection;Heliyon;2023-07

3. Speckle attenuation for optical coherence tomography images using the generalized low rank approximations of matrices;Optics Express;2023-03-23

4. OCT image denoising algorithm based on discrete wavelet transform and spatial domain feature fusion;Journal of Modern Optics;2023-01-19

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