• DocumentCode
    248730
  • Title

    Sparsity based poisson inpainting

  • Author

    Giryes, Raja ; Elad, Michael

  • Author_Institution
    Dept. of Comput. Sci., Technion - Israel Inst. of Technol., Haifa, Israel
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    2839
  • Lastpage
    2843
  • Abstract
    Poisson noise appears in various imaging applications, such as low-light photography, medical imaging and space imaging. In many cases we may have occlusions in the received image in addition to the noise. Thus, the problem of Poisson denoising turns to be a Poisson inpainting one in which we need both to remove the noise and recover the values in the occluded locations. In this work we extend a recent novel Poisson denoising method for the task of image inpainting. To the best of our knowledge this is the first work that deals with the problem of Poisson inpainting.
  • Keywords
    image denoising; image restoration; stochastic processes; Poisson noise; image denoising method; image inpainting; low-light photography; medical imaging; space imaging; sparsity based Poisson inpainting; Approximation methods; Dictionaries; Encoding; Imaging; Noise; Noise measurement; Noise reduction; Dictionary Learning; Greedy Methods; Inpainting; Poisson Denoising; Sparse Approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025574
  • Filename
    7025574