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...
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Format: | Article |
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World Scientific Publishing
2018-05-01
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Series: | Journal of Innovative Optical Health Sciences |
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Online Access: | http://www.worldscientific.com/doi/pdf/10.1142/S1793545818500128 |
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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 |
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