吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 340-344.

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Optical coherence tomography image denoising method by merging dyadic wavelet and anisotropic diffusion filter

ZHANG Tian1, SUN Yan-kui1, TIAN Xiao-lin2   

  1. 1. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;
    2. Faculty of Information Technology, Macau University of Science and Technology, Macao SAR, China
  • Received:2012-05-20 Published:2013-06-01

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Abstract:

Speckle reduction anisotropic diffusion (SRAD)is an important method to denoise speckle noise.A new method was presented to denoise optical coherence tomography (OCT) speckle by combining SRAD and dyadic wavelet.Interscale dependency of dyadic wavelet coefficients was used to distinguish edges from noises.A quantitative estimation was provided to evaluate the probability that a pixel lied in edge-related regions or homogenous regions,and the probability was used to modify the diffusion coefficient in SRAD to get a new anisotropic diffusion method,which exhibited an increased ability to detect and suppress strong noises,while still equally was good at preserving image edges.Experiments show that the denoising performance of our method is better than that of SRAD.

Key words: optical coherence tomography, image denoising, anisotropic diffusion, dyadic wavelet

CLC Number: 

  • TN911.73

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