@InProceedings{SouzaCobr:1997:MéBaTa,
               author = "Souza, Weneidner Moura de and Cobra, Daniel T{\'a}vora de 
                         Queiroz",
                title = "Um m{\'e}todo baseado na taxa de falsas descobertas de 
                         coeficientes para a redu{\c{c}}{\~a}o de ru{\'{\i}}do em 
                         imagens no dom{\'{\i}}nio da transformada de wavelets",
            booktitle = "Proceedings...",
                 year = "1997",
               editor = "Figueiredo, Luiz Henrique de and Netto, Marcio Lobo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 10. 
                         (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
                 note = "The conference was held in Campos de Jord{\~a}o, SP, Brazil, from 
                         October 13 to 16.",
             abstract = "We propose a technique for the reduction of speckle noise in 
                         images based on the method of False Discovery Rate of Coefficients 
                         (FDRC). This is a de-noising algorithm, i. e., an algorithm for 
                         noise reduction in the wavelet transform domain. We have extended 
                         the FDRC algorithm to the two-dimensional case and have 
                         incorporated the cycle-spinning technique in order to deal with 
                         the pseudo-Gibbs phenomenon. Our technique can thus be classified 
                         as a second-generationde-noising algorithm. The method is adaptive 
                         in nature and is based on hypothesis testing, seeking to control 
                         the expected proportion of wavelet coefficients that are 
                         incorrectly included among those used to reconstruct the image. We 
                         provide an example of the application of the proposed method to 
                         the reduction of speckle noise in side-scan sonar images. The 
                         results show that the method is able to significantly reduce 
                         speckle noise while preserving the details of the image.",
  conference-location = "Campos de Jord{\~a}o, SP, Brazil",
      conference-year = "Oct. 1997",
         organisation = "SBC - Sociedade Brasileira de Computa{\c{c}}{\~a}o; USP - 
                         Universidade de S{\~a}o Paulo",
                  ibi = "83LX3pFwXQZW44Lb/doU3n",
                  url = "http://urlib.net/ibi/83LX3pFwXQZW44Lb/doU3n",
           targetfile = "art74.pdf",
        urlaccessdate = "2024, May 03"
}