Image Denoising Based on Neutrosophic Wiener Filtering

  • J. MohanEmail author
  • A. P. Thilaga Shri Chandra
  • V. Krishnaveni
  • Yanhui Guo
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 177)


This paper proposes an image denoising technique based on Neutrosophic Set approach of wiener filtering. A Neutrosophic Set (NS), a part of neutrosophy theory, studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra. Now, we apply the neutrosophic set into image domain and define some concepts and operators for image denoising. Here the image is transformed into NS domain, which is described using three membership sets: True (T), Indeterminacy (I) and False (F). The entropy of the neutrosophic set is defined and employed to evaluate the indeterminacy. The ω-wiener filtering operation is used on T and F to decrease the set indeterminacy and remove noise. We have conducted experiments on a variety of noisy images using different types of noises with different levels. The experimental results demonstrate that the proposed approach can remove noise automatically and effectively. Especially, it can process not only noisy images with different levels of noise, but also images with different kinds of noise well without knowing the type of the noise.


Image denoising Neutrosophic Set Wiener filtering Entropy PSNR 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • J. Mohan
    • 1
    Email author
  • A. P. Thilaga Shri Chandra
    • 2
  • V. Krishnaveni
    • 1
  • Yanhui Guo
    • 3
  1. 1.Department of Electronics and Communication EngineeringP.S.G. College of TechnologyCoimbatoreIndia
  2. 2.Department of Electronics and Communication EngineeringSri Krishna College of Engineering and TechnologyCoimbatoreIndia
  3. 3.Department of RadiologyUniversity of MichiganAnn ArborUSA

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