• DocumentCode
    239585
  • Title

    An EM- and wavelet-based multi-band image restoration approach

  • Author

    Yifan Zhang

  • Author_Institution
    Shaanxi Key Lab. of Inf. Acquisition & Process., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2014
  • fDate
    20-23 Aug. 2014
  • Firstpage
    617
  • Lastpage
    620
  • Abstract
    This work presents a restoration approach with two available observations of the same scene, each with specific spatial and spectral resolutions. The proposed restoration approach is based on a multi-band image restoration scheme employing Expectation-Maximization (EM) algorithm and implemented in wavelet domain. It can be easily applied in hyperspectral and multispectral image fusion and restoration to acquire image with both high spatial and spectral resolutions. Simulation experiment is employed to validate the proposed approach. A performance comparison is made with its counterparts in image domain.
  • Keywords
    expectation-maximisation algorithm; geophysical image processing; hyperspectral imaging; image fusion; image resolution; image restoration; EM-based multiband image restoration approach; expectation-maximization algorithm; hyperspectral image fusion; hyperspectral image restoration; multispectral image fusion; multispectral image restoration; spatial resolutions; spectral resolutions; wavelet-based multiband image restoration approach; Digital signal processing; Image restoration; Noise; Remote sensing; Spatial resolution; Wavelet domain; Expectation-Maximizition (EM) algorithm; hy-perspectral image; multipectral image; restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2014 19th International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICDSP.2014.6900738
  • Filename
    6900738