@InProceedings{NascimentoCampBarr:2009:StBaSt,
               author = "Nascimento, Erickson Rangel do and Campos, Mario Fernando 
                         Montenegro and Barros, Wagner Ferreira de",
          affiliation = "{Universidade Federal de Minas Gerais} and {Universidade Federal 
                         de Minas Gerais} and {Universidade Federal de Minas Gerais}",
                title = "Stereo Based Structure Recovery of Underwater Scenes from 
                         Automatically Restored Images",
            booktitle = "Proceedings...",
                 year = "2009",
               editor = "Nonato, Luis Gustavo and Scharcanski, Jacob",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 22. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "physics based vision, stereo, image restoration, visibility, 
                         scattering, attenuation.",
             abstract = "In this paper we present a fully automatic methodology for 
                         underwater image restoration which is based on classical physical 
                         models of light propagation in participating media. The technique 
                         uses pairs of images acquired from distinct viewpoints under the 
                         same environmental conditions. At the kernel of the method is an 
                         iterative algorithm that is based on a contrast metric that 
                         automatically estimates all parameters of the model with good 
                         accuracy at a significantly low computational cost. We then 
                         present an algorithm that uses the model with the estimated 
                         parameters to improve the quality of images of underwater scenes 
                         taken under natural illumination, (i.e. without any special light 
                         source). First we show the quality of parameters estimated by our 
                         approach by comparing against the same parameters obtained 
                         manually like in other works in the literature. Once better 
                         estimated parameters greatly influence the quality of restored 
                         images, we performed experiments with images taken from both 
                         synthesized and real scenes to verify the performance of the 
                         proposed method. Two main aspects were considered: image quality 
                         and quality of disparity maps produced by a standard stereo 
                         algorithm. Image quality was assessed by a quantitative measure of 
                         contrast, which is typically used in related literature. We also 
                         compare the results obtained by our methodology with those 
                         obtained with classic image enhancement tools. The results 
                         obtained with our methodology demonstrate improvement both in 
                         scene contrast of recovered underwater images and in the accuracy 
                         of the disparity maps under different water turbidity levels.",
  conference-location = "Rio de Janeiro, RJ, Brazil",
      conference-year = "11-14 Oct. 2009",
                  doi = "10.1109/SIBGRAPI.2009.48",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2009.48",
             language = "en",
                  ibi = "8JMKD3MGPBW4/35S9R4S",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW4/35S9R4S",
           targetfile = "ieee_compliant_underwater_2009.pdf",
        urlaccessdate = "2024, Apr. 29"
}