• DocumentCode
    3641183
  • Title

    An adaptive image line reconstruction method

  • Author

    M. Haindl;S. Simberova

  • Author_Institution
    Centre for Math. & Comput. Sci., Amsterdam, Netherlands
  • fYear
    1994
  • Firstpage
    153
  • Abstract
    A new adaptive regression type of image destriping method is introduced to reconstruct failed lines in multispectral image data. The method uses available information from the failed pixel surrounding due to spectral and spatial correlation of multispectral data. The reconstruction is based on two competing adaptive regression models from which the locally optimal predictor is selected.
  • Keywords
    "Reconstruction algorithms","Detectors","Image reconstruction","Mathematics","Computer science","Multispectral imaging","Predictive models","Charge coupled devices","Charge-coupled image sensors","Radar detection"
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 3 - Conference C: Signal Processing, Proceedings of the 12th IAPR International Conference on
  • Print_ISBN
    0-8186-6275-1
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.577144
  • Filename
    577144
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3641183