@InProceedings{SantosFari:2016:HiDyRa,
               author = "Santos, Matheus V. dos and Farias, Mylene C. Q.",
          affiliation = "{University of Brasilia} and {University of Brasilia}",
                title = "High Dynamic Range Tone Mapping Algorithm Based on Image Feature 
                         Maps",
            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 = "High Dynamic Range, image processing, tone map- ping, 
                         photograph.",
             abstract = "Photographs produced by single-lens reflex (SLR) cameras are 
                         photos with Low Dynamic Range (LDR). To obtain photographs with a 
                         high dynamic range (HDR), i.e. images with radiance values that 
                         are closer to actual real life scenes, we need to use a 
                         combination of various LDR images captured at different exposure 
                         times. In this paper, we propose a new tone mapping algorithm that 
                         combines LDR images, taking into consideration a set of feature 
                         maps, which include a saliency map, a saturation map, and an error 
                         map. The proposed tone mapping algorithm shows good results when 
                         compared to state-of-the-art methods.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3MCQ9TS",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3MCQ9TS",
           targetfile = "2016-sibgrapi-matheus.pdf",
        urlaccessdate = "2024, May 03"
}