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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3JMSL4E
Repositorysid.inpe.br/sibgrapi/2015/06.20.17.26
Last Update2015:06.20.17.26.58 (UTC) sawp@sawp.com.br
Metadatasid.inpe.br/sibgrapi/2015/06.20.17.26.58
Metadata Last Update2020:02.19.02.14.04 (UTC) administrator
Citation KeyFreitasFariAraú:2015:EmCoWa
TitleEmbedding Color Watermarks into Halftoning Images using Minimum-Distance Binary Patterns
FormatOn-line
Year2015
Access Date2021, Nov. 30
Number of Files1
Size16829 KiB
Context area
Author1 Freitas, Pedro Garcia
2 Farias, Mylene Christine Queiroz de
3 Araújo, Aletéia Patrícia Favacho de
Affiliation1 University of Brasília
2 University of Brasília
3 University of Brasília
EditorPapa, João Paulo
Sander, Pedro Vieira
Marroquim, Ricardo Guerra
Farrell, Ryan
e-Mail Addresssawp@sawp.com.br
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2015-06-20 17:26:58 :: sawp@sawp.com.br -> administrator ::
2020-02-19 02:14:04 :: administrator -> :: 2015
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsEmbedding
Halftone
Color Restoration
Watermark
Inverse Halftoning
AbstractThis 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.
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zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JMSL4E
Languageen
Target Filecamera-ready-v2.pdf
User Groupsawp@sawp.com.br
Visibilityshown
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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