@InProceedings{ZibettiMayeBaza:2008:ReSiSu,
               author = "Zibetti, Marcelo Victor Wust and Mayer, Joceli and Bazan, 
                         Ferm{\'{\i}}n Sinforiano Viloche",
          affiliation = "{Federal University of Santa Catarina} and {Federal University of 
                         Santa Catarina} and {Federal University of Santa Catarina}",
                title = "Regularized simultaneous super-resolution with automatic 
                         determination of the parameters",
            booktitle = "Proceedings...",
                 year = "2008",
               editor = "Jung, Cl{\'a}udio Rosito and Walter, Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 21. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "simultaneous super-resolution, regularization, Bayesian 
                         estimation, JMAP.",
             abstract = "We derive a novel method for automatic determination of the 
                         regularization parameters applicable for the class of simultaneous 
                         super-resolution (SR) algorithms. The proposed method is based on 
                         the classical joint maximum a posteriori (JMAP) estimation 
                         technique, which is a fast alternative to estimate the parameters. 
                         Unfortunately, the classical JMAP technique can be unstable and 
                         generates multiple local minima. In order to stabilize the JMAP 
                         estimation, while achieving a cost function with a unique global 
                         solution, we derive an improved solution by modeling the JMAP 
                         hyperparameters with a gamma prior distribution. Experimental 
                         results illustrate the effectiveness of the proposed method for 
                         automatic determination of the regularization parameters for the 
                         simultaneous SR. We also contrast the proposed method to a 
                         reference method named KNOWN. KNOWN is a MAP based simultaneous SR 
                         algorithm where the parameters are fixed, either known a priori or 
                         extracted from the high-resolution frames which are not usually 
                         available in practice.",
  conference-location = "Campo Grande, MS, Brazil",
      conference-year = "12-15 Oct. 2008",
                  doi = "10.1109/SIBGRAPI.2008.21",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.21",
             language = "en",
                  ibi = "6qtX3pFwXQZG2LgkFdY/UMG46",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UMG46",
           targetfile = "zibetti-SimultaneousParameter.pdf",
        urlaccessdate = "2024, May 02"
}