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

Jing Cao; Pinghe Wang; Bo Wu; Guohua Shi; Yan Zhang; Xiqi Li; Yudong Zhang; Yong Liu

doi:doi:10.1142/s1793545818500128

Journal of Innovative Optical Health Sciences, 2018, 11 (3): 1850012, Published Online: Oct. 6, 2018

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

论文大纲

Jing Cao ¹Pinghe Wang ¹Bo Wu ²Guohua Shi ^1,3,*Yan Zhang ⁴Xiqi Li ^5,6Yudong Zhang ^5,6Yong Liu ¹

Author Affiliations

¹ School of Optoelectronic Information, University of Electronic Science and Technology of China, No. 4, Section 2, North Jianshe Road, Chengdu 610054, P. R. China

² College of Optoelectronic Technology, Chengdu University of Information Technology, Chengdu 610225, P. R. China

³ Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, P. R. China

⁴ School of Electronic and Communication Engineering, Guiyang University, Guiyang 550005, P. R. China

⁵ Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, P. R. China

⁶ Chinese Academy of Sciences, The Key Laboratory on Adaptive Optics, Chengdu 610209, P. R. China

Optical coherence tomography wavelets speckle

Abstract

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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