• DocumentCode
    248331
  • Title

    A multilayer neural network for image demosaicking

  • Author

    Yi-Qing Wang

  • Author_Institution
    CMLA, Ecole Normale Super. de Cachan, Cachan, France
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    1852
  • Lastpage
    1856
  • Abstract
    The recent revival of interest in artificial neural networks has been fueled by their successful applications in various image processing and computer vision tasks. In this work, we make use of the rotational invariance of the natural image patch distribution and propose a 4 × 4 patch based multilayer neural network for image demosaicking. We show that it does surprisingly well compared to state-of-the-art approaches requiring much larger neighborhoods. An online demo can be found at http://dev.ipol.im/~yiqing/ipol_demo/neuaick/.
  • Keywords
    image segmentation; neural nets; artificial neural networks; image demosaicking; multilayer neural network; natural image patch distribution; rotational invariance; Artificial neural networks; Image color analysis; Interpolation; Noise reduction; Training; distributional invariance; image demosaicking; multilayer neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025371
  • Filename
    7025371