• DocumentCode
    2463249
  • Title

    Enhanced image capture through fusion

  • Author

    Burt, Peter J. ; Kolczynski, Raymond J.

  • Author_Institution
    David Sarnoff Res. Center, Princeton, NJ, USA
  • fYear
    1993
  • fDate
    11-14 May 1993
  • Firstpage
    173
  • Lastpage
    182
  • Abstract
    The authors present an extension to the pyramid approach to image fusion. The modifications address problems that were encountered with past implementations of pyramid-based fusion. In particular, the modifications provide greater shift invariance and immunity to video noise, and provide at least a partial solution to the problem of combining components that have roughly equal salience but opposite contrasts. The fusion algorithm was found to perform well for a range of tasks without requiring adjustment of the algorithm parameters. Results were remarkably insensitive to changes in these parameters, suggesting that the procedure is both robust and generic. A composite imaging technique is outlined that may provide a powerful tool for image capture. By fusing a set of images obtained under restricted, narrowband, imaging conditions, it is often possible to construct an image that has enhanced information content when compared to a single image obtained directly with a broadband sensor
  • Keywords
    computer graphics; computer vision; image processing; image sensors; algorithm parameters; broadband sensor; composite imaging technique; contrasts; image fusion; pyramid approach; pyramid-based fusion; salience; shift invariance; video noise; Cameras; Fuses; Humans; Image sensors; Infrared image sensors; Noise cancellation; Optical imaging; Pathology; Sensor fusion; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1993. Proceedings., Fourth International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    0-8186-3870-2
  • Type

    conf

  • DOI
    10.1109/ICCV.1993.378222
  • Filename
    378222