• DocumentCode
    575916
  • Title

    A spatial and spectral combined image restoration approach

  • Author

    Zhang, Yifan

  • Author_Institution
    Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3509
  • Lastpage
    3512
  • Abstract
    In this paper, an image restoration framework is presented, by using two available observations of specific spatial and spectral resolutions. The proposed approach employs an Expectation-Maximization (EM) algorithm based multi-band image restoration scheme, in which both observation models are used for restoration. Experimental results illustrate that the proposed restoration approach is capable of producing improved restored results, compared to existing restoration approaches, in which only one observation model is utilized while the other observation is treated as auxiliary.
  • Keywords
    expectation-maximisation algorithm; geophysical image processing; image restoration; EM algorithm; expectation-maximization algorithm; multiband image restoration scheme; observation model; spatial restoration approach; spectral restoration approach; Gaussian noise; Hyperspectral imaging; Image restoration; Signal to noise ratio; Spatial resolution; Expectation-Maximizition (EM) algorithm; hyperspectral; restoration; spatial; spectral;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350663
  • Filename
    6350663