• DocumentCode
    249284
  • Title

    A non-parametric approach for the estimation of intensity-frequency dependent noise

  • Author

    Colom, M. ; Lebrun, M. ; Buades, A. ; Morel, J.M.

  • Author_Institution
    DMI, Univ. de les Illes Balears, Palma de Mallorca, Spain
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    4261
  • Lastpage
    4265
  • Abstract
    We present a non-parametric method estimating an intensity and frequency dependent noise from a single image. The noise model is estimated on image patches and can be used consequently in all patch-based denoising methods. The method applies to cases where no access is granted to the image noise model, in particular to scanned photographs and JPEG images. The general noise model and the method to evaluate it are validated by comparing the estimations with the corresponding ground-truth curves for raw and JPEG images. Denoising experiments on scanned photographs also support the efficiency of the estimation method.
  • Keywords
    image denoising; JPEG images; general noise model; ground-truth curves; image noise model; image patches; intensity-frequency dependent noise estimation; nonparametric approach; patch-based denoising methods; scanned photographs; Discrete cosine transforms; Estimation; Frequency estimation; Noise; Noise reduction; Transform coding; Blind noise estimation; frequency-dependent noise; non-parametric noise model; signal-dependent noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025865
  • Filename
    7025865