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@InProceedings{FreitasFariAraú:2015:EmCoWa,
               author = "Freitas, Pedro Garcia and Farias, Mylene Christine Queiroz de and 
                         Ara{\'u}jo, Alet{\'e}ia Patr{\'{\i}}cia Favacho de",
          affiliation = "{University of Bras{\'{\i}}lia} and {University of 
                         Bras{\'{\i}}lia} and {University of Bras{\'{\i}}lia}",
                title = "Embedding Color Watermarks into Halftoning Images using 
                         Minimum-Distance Binary Patterns",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim, 
                         Ricardo Guerra and Farrell, Ryan",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Embedding, Halftone, Color Restoration, Watermark, Inverse 
                         Halftoning.",
             abstract = "This paper presents a halftoning-based watermarking method. This 
                         method enables the embedding of a color image into a binary 
                         black-and-white halftone, while maintaining the image quality. The 
                         proposed technique is capable of embedding watermarks of three 
                         color channels into a binary halftone. To achieve high quality 
                         halftones, the method maps colors to halftone channels with 
                         homogeneous dot patterns which in turn use different binary 
                         texture orientations to carry the watermark. They are obtained by 
                         solving a minimization problem in which the objective function is 
                         the binary distance between the original binary halftone and the 
                         available patterns. To restore the color information, we scan the 
                         printed halftone image and compute the inverse information 
                         (considering the dot pattern). Using the mapped information, we 
                         restore the original color channels from the halftone images using 
                         a high-quality inverse halftoning algorithm. Experimental results 
                         show that the method produces restorations with a superior quality 
                         than other methods found in the literature and increases the 
                         embedding capacity.",
  conference-location = "Salvador",
      conference-year = "Aug. 26-29, 2015",
             language = "en",
           targetfile = "camera-ready-v2.pdf",
        urlaccessdate = "2021, Dec. 07"
}


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