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@InProceedings{SalinaMasc:2005:HyEsTh,
               author = "Salina, Fernando Vernal and Mascarenhas, Nelson Delfino 
                         d'{\'A}vila",
          affiliation = "{USP  Universidade de S{\~a}o Paulo} and {UFSCar  Universidade 
                         Federal de S{\~a}o Carlos}",
                title = "A hybrid estimation theoretic-POCS method for tomographic image 
                         reconstruction",
            booktitle = "Proceedings...",
                 year = "2005",
               editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro 
                         C{\'e}sar",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "POCS, tomographic, reconstruction, projection, convex sets.",
             abstract = "We present in this work a new method for the tomographic 
                         reconstruction with Poisson noise corrupted projections. The 
                         reconstruction method is a hybrid estimation theoretic-POCS 
                         (Projection Onto Convex Sets) method performed by first estimating 
                         the noisy projections using Anscombe Transformation, Discrete 
                         Wavelet Transform and pointwise Wiener filter and subsequently 
                         reconstructing the images through a parallel POCS method. The use 
                         of a previous filtering of the projections imposes a tighter 
                         restriction on the observation of the POCS method, allowing a 
                         better reconstruction, with a very little increase in 
                         computational cost.",
  conference-location = "Natal",
      conference-year = "9-12 Oct. 2005",
             language = "en",
           targetfile = "salinaf_tomographic.pdf",
        urlaccessdate = "2020, Nov. 26"
}


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