• DocumentCode
    3658849
  • Title

    Color texture restoration

  • Author

    Michal Haindl;Vojtěch Havlíček

  • Author_Institution
    Institute of Information Theory and Automation of the CAS, Prague, Czech Republic 182 08
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    Visual texture restoration strives not necessarily to recover the exact pixel-wise correspondence with some original unobservable texture but rather a texture which is visually indiscernible from the original one. This differs from the standard image restoration objective so it can consequently lead to different restoration techniques. A novel multispectral texture restoration method, capable to reduce simultaneously additive noise and to restore missing textural parts is presented. The restoration method is based on a descriptive, unusually complex, three-dimensional, spatial Gaussian mixture model. The model is inherently multispectral thus it does not suffer with the spectral quality compromises of the most alternative approaches.
  • Keywords
    "Image restoration","Computational modeling","Additive noise","Visualization","Covariance matrices","Conferences"
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), 2015 IEEE 7th International Conference on
  • Print_ISBN
    978-1-4673-7337-1
  • Electronic_ISBN
    2326-8239
  • Type

    conf

  • DOI
    10.1109/ICCIS.2015.7274540
  • Filename
    7274540