@InProceedings{MedeirosMascCost:1999:SpNoMA,
               author = "Medeiros, F{\'a}tima N. S. and Mascarenhas, Nelson Delfino 
                         d'{\'A}vila and Costa, Luciano da F.",
                title = "Speckle noise MAP filtering based on local adaptive neighborhood 
                         statistics",
            booktitle = "Proceedings...",
                 year = "1999",
               editor = "Stolfi, Jorge and Tozzi, Cl{\'e}sio Luis",
                pages = "347--354",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 12. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Campinas, SP, Brazil, from October 17 
                         to 20.",
             keywords = "speckle noise map filtering, map.",
             abstract = "This work proposes the use of an adaptive neighborhood procedure 
                         to extract local statistical properties of images in order to 
                         improve a speckle noise 'Maximum a Posteriori' (MAP) filtering 
                         performance. The strategy consists in growing the local 
                         statistically homogeneous area near the pixel in order to estimate 
                         its MAP filtering parameters. Measures evaluating both the 
                         signal-to-noise improvement and resolution loss due to filtering 
                         are computed. The use of region growing is investigated as a 
                         promising approach compared to a fixed size and shape 
                         neighborhood.",
  conference-location = "Campinas, SP, Brazil",
      conference-year = "17-20 Oct. 1999",
                  doi = "10.1109/SIBGRA.1999.805744",
                  url = "http://dx.doi.org/10.1109/SIBGRA.1999.805744",
         organisation = "SBC - Brazilian Computer Society and UNICAMP - University of 
                         Campinas",
                  ibi = "83LX3pFwXQZ4BFjAq/jiJ6c",
                  url = "http://urlib.net/ibi/83LX3pFwXQZ4BFjAq/jiJ6c",
           targetfile = "064-04937550.pdf",
        urlaccessdate = "2024, May 01"
}