Enhancement of Anisotropic Diffusion Filtered Cardiac MR Images Using Contrast-Based Fuzzy Approach

  • G. N. Beena BethelEmail author
  • T. V. Rajinikanth
  • S. Viswanadha Raju
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 119)


Image denoising is an important preprocessing step done with MRI images to remove various kinds of noise like speckle noise, Gaussian noise, pepper and salt noise, etc. Some filtering mechanisms have been eliminating the required parts of the image along with the noisy pixels of the image, a phenomenon called over-filtering. Anisotropic diffusion is a denoising technique having an iterative process that computes a set of functions to acquire a good degree of smoothening without loss of actual contents of the images. A filtering technique using anisotropic diffusion and application of fuzzy logic has been presented in this paper as it has given a better sharpness of the image, with a good PSNR while it was simulated over 33 MRI cardiac images.


Cardiac MRI images Anisotropic diffusion Contrast-based fuzzy enhancement 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • G. N. Beena Bethel
    • 1
    Email author
  • T. V. Rajinikanth
    • 2
  • S. Viswanadha Raju
    • 3
  1. 1.CSE DepartmentGRIETHyderabadIndia
  2. 2.CSE DepartmentSNISTHyderabadIndia
  3. 3.CSE DepartmentJNTUHCEJJagityalIndia

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