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		<citationkey>FreitasFariAraú:2015:EmCoWa</citationkey>
		<title>Embedding Color Watermarks into Halftoning Images using Minimum-Distance Binary Patterns</title>
		<format>On-line</format>
		<year>2015</year>
		<numberoffiles>1</numberoffiles>
		<size>16829 KiB</size>
		<author>Freitas, Pedro Garcia,</author>
		<author>Farias, Mylene Christine Queiroz de,</author>
		<author>Araújo, Aletéia Patrícia Favacho de,</author>
		<affiliation>University of Brasília</affiliation>
		<affiliation>University of Brasília</affiliation>
		<affiliation>University of Brasília</affiliation>
		<editor>Papa, João Paulo,</editor>
		<editor>Sander, Pedro Vieira,</editor>
		<editor>Marroquim, Ricardo Guerra,</editor>
		<editor>Farrell, Ryan,</editor>
		<e-mailaddress>sawp@sawp.com.br</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 28 (SIBGRAPI)</conferencename>
		<conferencelocation>Salvador</conferencelocation>
		<date>Aug. 26-29, 2015</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<keywords>Embedding, Halftone, Color Restoration, Watermark, Inverse Halftoning.</keywords>
		<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.</abstract>
		<language>en</language>
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