Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 21-27.doi: 10.11896/jsjkx.200800183

• Image Processing & Multimedia Technology • Previous Articles     Next Articles

MR Image Enhancement Based on Adaptive Weighted Duplicate Filtering and Homomorphic Filtering

HUANG Xue-bing, WEI Jia-yi, SHEN Wen-yu, LING Li   

  1. School of Information Science and Technology,Fudan University,Shanghai 200433,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:HUANG Xue-bing,born in 1998,postgraduate.His main research interests include network communication and security,blockchain technology,big data analysis and cloud computing.
    LING Li,born in 1967,professor.His main research interests include network communication and security.
  • Supported by:
    National Key R&D Program of China (2018YFB2101100).

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Abstract: Magnetic resonance (MR) images are usually affected by salt and pepper noise (SPN) and low contrast.In this paper,we enhance the MR images by filtering the images in the spatial and frequency domain respectively.Since most of the existing filtering algorithms are not ideal for removing high-level SPN,we propose adaptive weighted duplicate filter (AWDF).The adaptive window size is determined by continuously enlarging the window until the maximum and minimum values of the two successive windows are equal respectively,and then replacing the noise pixel with the mean value of the most duplicate noise-free pixels in the window.We apply the algorithm to the pre-processing of MR images with different SPN levels,and then apply homomorphic filtering in the frequency domain.The simulation results show that the method of combining AWDF and optimized Gaussian homomorphic filter can improve the contrast and details of the images while removing high-level SPN.The PSNR and SSIM of the image have been greatly improved,and the enhancement is remarkable.

Key words: Adaptive filtering, Homomorphic filtering, Image enhancement, Magnetic resonance images, Salt and pepper noise

CLC Number: 

  • TP391.41
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