Wavelet Packet Based CT Image Denoising Using Bilateral Method and Bayes Shrinkage Rule

  • Manoj Diwakar
  • Pardeep Kumar


Noise in CT images is very common problem which degrade the quality of CT images. In this paper, a method is proposed where CT images are denoised using bilateral method with the concept of Bayes Shrinkage rule in wavelet domain. Firstly, noisy CT image is filtered using bilateral filter. This filtered image is suppressed by noisy input image. Over the subtracted image, wavelet packet based thresholding is performed. To get the final denoised image, the thresholded output image is added with bilateral filtered image. To analyze the efficiency of propose algorithm, a comparative result analysis has been performed with some recent similar methods and also from some state of arts. The comparative analysis indicates that in most of the cases, the proposed algorithm gives better results.


Wavelet packet transform Denoising Thresholding 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Manoj Diwakar
    • 1
  • Pardeep Kumar
    • 2
  1. 1.Department of CSEDIT UniversityUttarakhandIndia
  2. 2.Department of CSE and ITJaypee University of Information TechnologySolanIndia

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