• DocumentCode
    1684064
  • Title

    Image restoration using multiresolution texture synthesis and image inpainting

  • Author

    Yamauchi, Hitoshi ; Haber, Jörg ; Seidel, Hans-Peter

  • Author_Institution
    Max-Planck-Inst. fur Inf., Saarbrucken, Germany
  • fYear
    2003
  • Firstpage
    120
  • Lastpage
    125
  • Abstract
    We present a new method for the restoration of digitized photographs. Restoration refers to removal of image defects such as scratches and blotches as well as to removal of disturbing objects as, for instance, subtitles, logos, wires, and microphones. Our method combines techniques from texture synthesis and image inpainting, bridging the gap between these two approaches that have recently attracted strong research interest. Combining image inpainting and texture synthesis in a multiresolution approach gives us the best of both worlds and enables us to overcome the limitations of each of those individual approaches. The restored images obtained with our method look plausible in general and surprisingly good in some cases. This is demonstrated for a variety of input images that exhibit different kinds of defects.
  • Keywords
    discrete cosine transforms; image resolution; image restoration; image segmentation; image texture; digitized photographs; frequency decomposition; image defects elimination; image inpainting; image restoration; microphones; multiresolution texture synthesis; Consumer electronics; Digital cameras; Frequency synthesizers; Image resolution; Image restoration; Image sequences; Marketing and sales; Microphones; Object detection; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics International, 2003. Proceedings
  • ISSN
    1530-1052
  • Print_ISBN
    0-7695-1946-6
  • Type

    conf

  • DOI
    10.1109/CGI.2003.1214456
  • Filename
    1214456