Improved wavelet hierarchical threshold filter method for optical coherence tomography image de-noising

According to the speckle feature in Optical coherence tomography (OCT), images with speckle indicate not only noise but also signals, an improved wavelet hierarchical threshold filter (IWHTF) method is proposed. At first, a modified hierarchical threshold-selected algorithm is used to prevent signal...

Full description

Bibliographic Details
Main Authors: Jing Cao, Pinghe Wang, Bo Wu, Guohua Shi, Yan Zhang, Xiqi Li, Yudong Zhang, Yong Liu
Format: Article
Language:English
Published: World Scientific Publishing 2018-05-01
Series:Journal of Innovative Optical Health Sciences
Subjects:
Online Access:http://www.worldscientific.com/doi/pdf/10.1142/S1793545818500128
_version_ 1811296912795500544
author Jing Cao
Pinghe Wang
Bo Wu
Guohua Shi
Yan Zhang
Xiqi Li
Yudong Zhang
Yong Liu
author_facet Jing Cao
Pinghe Wang
Bo Wu
Guohua Shi
Yan Zhang
Xiqi Li
Yudong Zhang
Yong Liu
author_sort Jing Cao
collection DOAJ
description According to the speckle feature in Optical coherence tomography (OCT), images with speckle indicate not only noise but also signals, an improved wavelet hierarchical threshold filter (IWHTF) method is proposed. At first, a modified hierarchical threshold-selected algorithm is used to prevent signals from being removed by assessing suitable thresholds for different noise levels. Then, an improved wavelet threshold function based on two traditional threshold functions is proposed to trade-off between speckle removing and sharpness degradation. The de-noising results of an OCT finger skin image shows that the IWHTF method obtains better objective evaluation metrics and visual image quality improvement. When α=0.2, β=5.0 and K=1.2, the improved method can achieve 9.58dB improvement in signal-to-noise ratio, with sharpness degraded by 3.81%.
first_indexed 2024-04-13T05:55:29Z
format Article
id doaj.art-fd25631b33634816954384dbd721891b
institution Directory Open Access Journal
issn 1793-5458
1793-7205
language English
last_indexed 2024-04-13T05:55:29Z
publishDate 2018-05-01
publisher World Scientific Publishing
record_format Article
series Journal of Innovative Optical Health Sciences
spelling doaj.art-fd25631b33634816954384dbd721891b2022-12-22T02:59:38ZengWorld Scientific PublishingJournal of Innovative Optical Health Sciences1793-54581793-72052018-05-011131850012-11850012-1110.1142/S179354581850012810.1142/S1793545818500128Improved wavelet hierarchical threshold filter method for optical coherence tomography image de-noisingJing Cao0Pinghe Wang1Bo Wu2Guohua Shi3Yan Zhang4Xiqi Li5Yudong Zhang6Yong Liu7School of Optoelectronic Information, University of Electronic Science and Technology of China, No. 4, Section 2, North Jianshe Road, Chengdu 610054, P. R. ChinaSchool of Optoelectronic Information, University of Electronic Science and Technology of China, No. 4, Section 2, North Jianshe Road, Chengdu 610054, P. R. ChinaCollege of Optoelectronic Technology, Chengdu University of Information Technology, Chengdu 610225, P. R. ChinaSchool of Optoelectronic Information, University of Electronic Science and Technology of China, No. 4, Section 2, North Jianshe Road, Chengdu 610054, P. R. ChinaSchool of Electronic and Communication Engineering, Guiyang University, Guiyang 550005, P. R. ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, P. R. ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, P. R. ChinaSchool of Optoelectronic Information, University of Electronic Science and Technology of China, No. 4, Section 2, North Jianshe Road, Chengdu 610054, P. R. ChinaAccording to the speckle feature in Optical coherence tomography (OCT), images with speckle indicate not only noise but also signals, an improved wavelet hierarchical threshold filter (IWHTF) method is proposed. At first, a modified hierarchical threshold-selected algorithm is used to prevent signals from being removed by assessing suitable thresholds for different noise levels. Then, an improved wavelet threshold function based on two traditional threshold functions is proposed to trade-off between speckle removing and sharpness degradation. The de-noising results of an OCT finger skin image shows that the IWHTF method obtains better objective evaluation metrics and visual image quality improvement. When α=0.2, β=5.0 and K=1.2, the improved method can achieve 9.58dB improvement in signal-to-noise ratio, with sharpness degraded by 3.81%.http://www.worldscientific.com/doi/pdf/10.1142/S1793545818500128Optical coherence tomographywaveletsspeckle
spellingShingle Jing Cao
Pinghe Wang
Bo Wu
Guohua Shi
Yan Zhang
Xiqi Li
Yudong Zhang
Yong Liu
Improved wavelet hierarchical threshold filter method for optical coherence tomography image de-noising
Journal of Innovative Optical Health Sciences
Optical coherence tomography
wavelets
speckle
title Improved wavelet hierarchical threshold filter method for optical coherence tomography image de-noising
title_full Improved wavelet hierarchical threshold filter method for optical coherence tomography image de-noising
title_fullStr Improved wavelet hierarchical threshold filter method for optical coherence tomography image de-noising
title_full_unstemmed Improved wavelet hierarchical threshold filter method for optical coherence tomography image de-noising
title_short Improved wavelet hierarchical threshold filter method for optical coherence tomography image de-noising
title_sort improved wavelet hierarchical threshold filter method for optical coherence tomography image de noising
topic Optical coherence tomography
wavelets
speckle
url http://www.worldscientific.com/doi/pdf/10.1142/S1793545818500128
work_keys_str_mv AT jingcao improvedwavelethierarchicalthresholdfiltermethodforopticalcoherencetomographyimagedenoising
AT pinghewang improvedwavelethierarchicalthresholdfiltermethodforopticalcoherencetomographyimagedenoising
AT bowu improvedwavelethierarchicalthresholdfiltermethodforopticalcoherencetomographyimagedenoising
AT guohuashi improvedwavelethierarchicalthresholdfiltermethodforopticalcoherencetomographyimagedenoising
AT yanzhang improvedwavelethierarchicalthresholdfiltermethodforopticalcoherencetomographyimagedenoising
AT xiqili improvedwavelethierarchicalthresholdfiltermethodforopticalcoherencetomographyimagedenoising
AT yudongzhang improvedwavelethierarchicalthresholdfiltermethodforopticalcoherencetomographyimagedenoising
AT yongliu improvedwavelethierarchicalthresholdfiltermethodforopticalcoherencetomographyimagedenoising