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Improved wavelet hierarchical threshold filter method for optical coherence tomography image de-noising
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作者 Jing Cao Pinghe Wang +5 位作者 Bo Wu Guohua Shi Yan Zhang Xiqi Li Yudong Zhang Yong Liu 《Journal of Innovative Optical Health Sciences》 SCIE EI CAS 2018年第3期54-64,共11页
According to the speckle feature in Optical coherence tomography(OCT),images with speckleindicate not only noise but also signals,an improved wavelet hierarchical threshold filter(IWHTF)method is proposed.At first,a m... According to the speckle feature in Optical coherence tomography(OCT),images with speckleindicate not only noise but also signals,an improved wavelet hierarchical threshold filter(IWHTF)method is proposed.At first,a modified hierarchical threshold-selected algorithm isused to prevent signals from being removed by asssing suitable thresholds for different noiselevels,Then,an improved wavelet threshold function based on two traditional threshold fumnc.tions is proposed to trade-ff betwen speckle removing and sharpness degradation.The de-noising results of an OCT finger skin image shows that the IWHTF method obtains betterobjective evaluation metrics and visual image quality improvement,Whenαa=0.2,β=5.0 andK=1.2,the improved method can achieve 9.58 dB improvement in signal-to-noise ratio,withsharpnesdegraded by 3.81%. 展开更多
关键词 Optical coherence tomography WAVELETS SPECKLE
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