Journal of Innovative Optical Health Sciences, Volume. 11, Issue 3, 1850012(2018)

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

Jing Cao1, Pinghe Wang1, Bo Wu2, Guohua Shi1,3、*, Yan Zhang4, Xiqi Li5,6, Yudong Zhang5,6, and Yong Liu1
Author Affiliations
  • 1School of Optoelectronic Information, University of Electronic Science and Technology of China, No. 4, Section 2, North Jianshe Road, Chengdu 610054, P. R. China
  • 2College of Optoelectronic Technology, Chengdu University of Information Technology, Chengdu 610225, P. R. China
  • 3Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, P. R. China
  • 4School of Electronic and Communication Engineering, Guiyang University, Guiyang 550005, P. R. China
  • 5Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, P. R. China
  • 6Chinese Academy of Sciences, The Key Laboratory on Adaptive Optics, Chengdu 610209, P. R. China
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    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 9.58 dB improvement in signal-to-noise ratio, with sharpness degraded by 3.81%.

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    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[J]. Journal of Innovative Optical Health Sciences, 2018, 11(3): 1850012

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    Paper Information

    Received: Sep. 26, 2017

    Accepted: Dec. 21, 2017

    Published Online: Oct. 6, 2018

    The Author Email: Shi Guohua (ioe eye@126.com)

    DOI:10.1142/s1793545818500128

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