@InProceedings{RodriguesBarQueFonCar:2016:EnUnIm,
               author = "Rodrigues, Daily Daleno de Oliveira and Barros, Wagner Ferreira de 
                         and Queiroz-Neto, Jos{\'e} Pinheiro de and Fontoura, Anderson 
                         Gadelha and Carvalho, Jos{\'e} Reginaldo Hughes",
          affiliation = "{Instituto Federal do Amazonas (IFAM)} and {Instituto Federal do 
                         Norte de Minas Gerais (IFNMG)} and {Instituto Federal do Amazonas 
                         (IFAM)} and Instituto de Computa{\c{c}}{\~a}o (IComp), 
                         Universidade Federal do Amazonas (UFAM) and Instituto de 
                         Computa{\c{c}}{\~a}o (IComp), Universidade Federal do Amazonas 
                         (UFAM)",
                title = "Enhancement of Underwater Images in Low-to-High Turbidity Rivers",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "underwater images, image enhancement, degraded images.",
             abstract = "The demand for efficient enhancement methods of underwater images 
                         of the rivers in the Amazon region is increasing. However, most of 
                         those in the region present moderate turbidity and low luminosity. 
                         This work aims to improve these images by non-linear filtering 
                         techniques, which promote the minimization of light interaction 
                         characteristics with the environment, loss of the contrast and 
                         colors. The proposed method is compared with two others techniques 
                         that requires a unique image as input. The results of the proposed 
                         method is promising, with better visual quality considering a wide 
                         range of experiments with simulation data and real outdoor 
                         scenes.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.040",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.040",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M5BMF8",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M5BMF8",
           targetfile = "43.pdf",
        urlaccessdate = "2024, May 03"
}