@article{ guillemot_image_2014,
  title = {Image {Inpainting}: {Overview} and {Recent} {Advances}},
  volume = {31},
  issn = {1053-5888},
  shorttitle = {Image {Inpainting}},
  doi = {10.1109/MSP.2013.2273004},
  abstract = {Image inpainting refers to the process of restoring missing or damaged areas in an image. This field of research has been very active over recent years, boosted by numerous applications: restoring images from scratches or text overlays, loss concealment in a context of impaired image transmission, object removal in a context of editing, or disocclusion in image-based rendering (IBR) of viewpoints different from those captured by the cameras. Although earlier work dealing with disocclusion has been published in [1], the term inpainting first appeared in [2] by analogy with a process used in art restoration.},
  number = {1},
  journal = {IEEE Signal Processing Magazine},
  author = {Guillemot, C. and Le Meur, O.},
  month = {January},
  year = {2014},
  note = {00022},
  pages = {127--144}
}

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