• DocumentCode
    3707815
  • Title

    Local extrema based Digital Dropout detection in degraded archived media

  • Author

    Gihun Song;Jaemyun Kim;Kiok Ahn;Oksam Chae

  • Author_Institution
    Image Processing Lab, Department of Computer Engineering, Kyung Hee University, Republic of Korea
  • fYear
    2015
  • Firstpage
    3255
  • Lastpage
    3259
  • Abstract
    A spatial detection technique, based on the extrema of current pixel´s neighborhood, is proposed for Digital Dropout error, evident in the archived media. Digital dropout is a major type of damage occurred due to the physical error in original tape and tends to occur in block by block basis. As long as the presence of fast moving object is observed in video sequences where current state-of-the-art methods fail to detect accurate error information, such spatial detection offers a much better solution in terms of quality and complexity. Experiments are performed on video archives to evaluate the efficacy of the proposed technique.
  • Keywords
    "Yttrium","Image edge detection","Filtering algorithms","Feature extraction","Error analysis","Broadcasting","Multimedia communication"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIP.2015.7351405
  • Filename
    7351405