@InProceedings{BarcelosBatiMartNogu:2004:LeLiCo,
               author = "Barcelos, Celia A. Zorzo and Batista, Marcos A. and Martins, 
                         Adriana M. and Nogueira, Antonio Carlos",
          affiliation = "{UFG - Universidade Federal de Goi{\'a}s - CAC} and {UFU - 
                         Universidade Federal de Uberl{\^a}ndia}",
                title = "Level Lines Continuation based Digital Inpainting",
            booktitle = "Proceedings...",
                 year = "2004",
               editor = "Ara{\'u}jo, Arnaldo de Albuquerque and Comba, Jo{\~a}o Luiz Dihl 
                         and Navazo, Isabel and Sousa, Ant{\^o}nio Augusto de",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 17. 
                         (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 
                         (SIACG)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "digital inpainting, level lines, restoration, disocclusion.",
             abstract = "Inpainting digital models have been since the late 1990’s a 
                         powerful image reconstruction tool for missing data. After the 
                         original work of Bertalmio, Sapiro, Caselles and Ballester, 
                         several different approaches have been used to tackle the problem. 
                         Some are based on Partial Differential Equations to model a 
                         transport process and a diffusion process, others are based on the 
                         Euler elastica functional. This paper presents a model using the 
                         level lines continuation to perform the filling-in of the 
                         inpainting domain D. The model is proposed in a way as to satisfy 
                         the {"}Connectivity Principle{"}. The image u(x,y) is represented 
                         by a family of level lines and the missing part of the image is 
                         filled-in by the propagation of the available surrounding 
                         information, from outside to inside of the inpainting domain D 
                         along the level lines of the image. After defining the domain D 
                         the restoration process becomes automatic and the final result 
                         u(x,y,tn) is carried out by the evolutionary process starting with 
                         the initial degraded image u(x,y,0). Examples on real and textured 
                         images show the performance of this proposed model.",
  conference-location = "Curitiba, PR, Brazil",
      conference-year = "17-20 Oct. 2004",
                  doi = "10.1109/SIBGRA.2004.1352942",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352942",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/D8sr7",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/D8sr7",
           targetfile = "4466_barcelos.pdf",
        urlaccessdate = "2024, Apr. 28"
}