@InProceedings{Drews-JrNascCamp:2016:CoAuRe,
               author = "Drews-Jr, Paulo L. J. and Nascimento, Erickson R. and Campos, 
                         Mario F. M.",
          affiliation = "UFMG and UFMG and UFMG",
                title = "Contributions to the Automatic Restoration of Images from Scenes 
                         in Participating Media",
            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 = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Image Restoration, Computer Vision, Participating Media.",
             abstract = "This work deals with the problem of image restoration of monocular 
                         images acquired in participating media, i.e. media that interfere 
                         with light propagation. Specifically, the proposed work focus on 
                         the automatic restoration of images acquired in underwater and 
                         foggy/hazy scenes. The proposed restoration process requires at 
                         least a pair of images as input and produces images in which the 
                         medium effects are attenuated and the visibility improved. 
                         Differently from previous works, our method does not need 
                         additional equipment or information only a calibrated camera. Our 
                         method adopts a model-based approach by estimating the depth map 
                         and the attenuation coefficient. We performed experimental 
                         evaluation in real and simulated environments with significant 
                         improvement in the quality of the images.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M9SAJH",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M9SAJH",
           targetfile = "Article.pdf",
        urlaccessdate = "2024, May 02"
}