• DocumentCode
    247293
  • Title

    Noise Prediction Using Rough Set Theory

  • Author

    Kadam, J. ; Thakur, K. ; Sapkal, A.

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., Coll. of Eng. Pune, Pune, India
  • fYear
    2014
  • fDate
    12-13 Sept. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Image denoising algorithms are proposed assuming specific kind of noise in various applications. No present algorithms includes noise prediction. Prediction of noise create an ease to apply the specific denoising algorithms to produce required result. In this paper, we propose a method to predict the noise present in image using rough set theory. We are predicting whether noise is Gaussian, Salt and Pepper and Speckle from noisy image on the basis of noise distribution. We have used standard MATLAB images as a noisy input and ROSE software for rough set table creation.
  • Keywords
    image denoising; rough set theory; ROSE software; image denoising algorithms; noise distribution; noise prediction; noisy image; rough set theory; standard MATLAB images; Approximation methods; Image denoising; Noise; Noise measurement; Prediction algorithms; Set theory; Speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Devices, Circuits and Communications (ICDCCom), 2014 International Conference on
  • Conference_Location
    Ranchi
  • Type

    conf

  • DOI
    10.1109/ICDCCom.2014.7024731
  • Filename
    7024731