Imaging Science and Photochemistry ›› 2018, Vol. 36 ›› Issue (6): 539-550.DOI: 10.7517/issn.1674-0475.180905

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Combining Variance Stable Transform and PGPD to Remove Rician Noise from Magnetic Resonance Images

ZHANG Ruonan1, CHI Yue1, ZHANG Wei2, CUI Tao1   

  1. 1. School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, P. R. China;
    2. Hebei University of Technology Hospital, Tianjin 300401, P. R. China
  • Received:2018-09-10 Revised:2018-10-15 Online:2018-11-15 Published:2018-11-15

Abstract: The patch group based non-local self-similarity prior learning for image denosing (PGPD) algorithm has excellent effect of removing Gaussian noise, but the removal effect of Rician noise in MR images is not ideal. In this paper, a new algorithm FPGPD combining variance stable transform and PGPD is proposed. Firstly, the algorithm performs the variance-stable transformation on the MR image with Rician noise, so that the noise approximation obeys the Gaussian distribution in the transform domain. Then, using the PGPD algorithm to denoise in the transform domain, and finally obtains the unbiased denoising image through the inverse variance transform. Theoretical analysis and experimental results indicate that the FPGPD algorithm has significantly improved denoising performance compared to the PGPD algorithm when removing Rician noise in MR images, which is better for image detail and contour edges.

Key words: MR image, digital image denoising, variance stable transformation, PGPD