• DocumentCode
    2060320
  • Title

    Improved blotch detection in color old films through a robust preprocessing

  • Author

    Ammar-Badri, H. ; Benazza-Benyahia, A.

  • Author_Institution
    COSIM Lab., Carthage Univ., Tunis, Tunisia
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Blotches are artifacts that contaminate old films and cause the loss of some information in the film. Their detection is required prior to any restoration. The goal of this paper is to reduce the false alarm rate of the detection. By assuming that blotches correspond to local illumination variations between the degraded frame and its surrounding ones, the novelty of the approach we propose is threefold. Firstly, an appropriate photometric parametric model is adopted. Secondly, a motion analysis involving a robust adaptive cross-correlation measure is used to locally measure the illumination variation. Thirdly, the extension to color sequences is performed. Experimental evaluation shows the efficiency of the proposed preprocessing.
  • Keywords
    image processing; image restoration; motion estimation; object detection; adaptive cross-correlation measure; blotch detection; color old films; false alarm rate; local illumination variations; motion analysis; photometric parametric model; preprocessing; Detectors; Image color analysis; Image restoration; Lighting; Motion measurement; Pollution measurement; Robustness; blotch detection; motion estimation; outliers; photometric parametric model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
  • Conference_Location
    Marrakech
  • Type

    conf

  • Filename
    6811702