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@InProceedings{HomemMasc:2007:StApIm,
               author = "Homem, Murillo Rodrigo Petrucelli and Mascarenhas, Nelson Delfino 
                         d'{\'A}vila",
          affiliation = "Departamento de Computa{\c{c}}{\~a}o, Universidade Federal de 
                         S{\~a}o Carlos and Departamento de Computa{\c{c}}{\~a}o, 
                         Universidade Federal de S{\~a}o Carlos",
                title = "A Statistical Approach for Image Interpolation",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Gon{\c{c}}alves, Luiz and Wu, Shin Ting",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Statistical image interpolation, orthogonality principle.",
             abstract = "Interpolation is an image processing operation for improve the 
                         resolution of a digital image. In this work, following the 
                         orthogonality principle, and under the assumption that the actual 
                         image is a locally stationary random process, we propose an 
                         alternative scheme for image interpolation. In our approach, the 
                         computational complexity is similar to the first-order spline 
                         algorithm. The algorithm was compared with classical B-spline 
                         methods and also with a statistical interpolator previously 
                         proposed in the literature. According to the normalized mean 
                         square error criteria, the proposed method produced accurate 
                         results.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "interpolation-mrph.pdf",
        urlaccessdate = "2020, Oct. 26"
}


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