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@InProceedings{AguenaMasc:2011:GeItRe,
               author = "Aguena, Marcia Luciana Silva and Mascarenhas, Nelson Delfino 
                         D'Avila",
          affiliation = "{Departamento de Computa{\c{c}}{\~a}o UFSCar - Universidade 
                         Federal de S{\~a}o Carlos} and {Departamento de 
                         Computa{\c{c}}{\~a}o UFSCar - Universidade Federal de S{\~a}o 
                         Carlos}",
                title = "Generalization of Iterative RestorationTechniques for 
                         Super-Resolution",
            booktitle = "Proceedings...",
                 year = "2011",
               editor = "Lewiner, Thomas and Torres, Ricardo",
         organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
            publisher = "IEEE Computer Society Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "super-resolution, image restoration, restoration, iterative 
                         back-projection.",
             abstract = "The resolution enhancement of an image is always desirable, for 
                         almost all situations, but mainly if the image has the purpose of 
                         visual analysis. The hardware development for increasing the image 
                         resolution at its capture still has a higher cost than the 
                         algorithm solutions for super-resolution (SR). Like image 
                         restoration, super-resolution is also an ill-conditioned inverse 
                         problem. This work analyses the iterative restoration methods (Van 
                         Cittert, Tikhonov-Miller and Conjugate Gradient) which propose 
                         solutions for the ill-conditioning problem and compares them with 
                         the IBP method (Iterative Back Projection) proposed by Irani-Peleg 
                         [1] and Komatsu et al. [2]. The analysis of the found similarities 
                         is the basis of a generalization, that other iterative restoration 
                         methods can have their properties adapted, such as regularization 
                         of the ill-conditioning, noise reduction and other degradations 
                         and the increase of the convergence rate can be incorporated to 
                         the techniques of super-resolution.",
  conference-location = "Macei{\'o}",
      conference-year = "Aug. 28 - 31, 2011",
             language = "en",
           targetfile = "86913.pdf",
        urlaccessdate = "2019, Dec. 07"
}


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