Watermarking in halftone images with noise balance strategy.
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| Title: | Watermarking in halftone images with noise balance strategy. |
|---|---|
| Authors: | Jing-Ming Guo1 jmguo@seed.net.tw, Soo-Chang Pei2, Hua Lee3 |
| Source: | International Journal of Imaging Systems & Technology. 2010, Vol. 20 Issue 3, p202-214. 13p. 5 Diagrams, 1 Chart, 15 Graphs. |
| Subjects: | Digital image watermarking, Halftone process, Noise, Image quality in imaging systems, Diffusion, Image processing |
| Abstract: | Two novel and robust methods for embedding watermarks into error-diffused halftone images are presented in this study. The first method is referred to as Dither-Referenced Error Diffusion (DREDF), where the proposed Average Ordered Dithering (AOD) is adopted to produce the referenced halftone image. The Noise- Balanced Error diffusion (NBEDF) is then applied to embed the watermark. The other method is referred to as Parity-Matched Error Diffusion (PMEDF). This approach achieves good image quality and capacity as high as 6.25 to 25%. Since the two techniques are blind, the decoder does not need any priori knowledge of the original halftone image or watermark. The capacity of the two approaches is also flexible to accommodate all kinds of applications. As the experimental results demonstrated, both techniques are able to guard against degradation due to cropping, tampering, and the print-and-scan process in error-diffused halftone images. Moreover, both methods have features of low computational complexity, low memory demand, and good image quality. © 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 202–214, 2010. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Imaging Systems & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 53286026 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Watermarking in halftone images with noise balance strategy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jing-Ming+Guo%22">Jing-Ming Guo</searchLink><relatesTo>1</relatesTo><i> jmguo@seed.net.tw</i><br /><searchLink fieldCode="AR" term="%22Soo-Chang+Pei%22">Soo-Chang Pei</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Hua+Lee%22">Hua Lee</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Imaging+Systems+%26+Technology%22">International Journal of Imaging Systems & Technology</searchLink>. 2010, Vol. 20 Issue 3, p202-214. 13p. 5 Diagrams, 1 Chart, 15 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Digital+image+watermarking%22">Digital image watermarking</searchLink><br /><searchLink fieldCode="DE" term="%22Halftone+process%22">Halftone process</searchLink><br /><searchLink fieldCode="DE" term="%22Noise%22">Noise</searchLink><br /><searchLink fieldCode="DE" term="%22Image+quality+in+imaging+systems%22">Image quality in imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Diffusion%22">Diffusion</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Two novel and robust methods for embedding watermarks into error-diffused halftone images are presented in this study. The first method is referred to as Dither-Referenced Error Diffusion (DREDF), where the proposed Average Ordered Dithering (AOD) is adopted to produce the referenced halftone image. The Noise- Balanced Error diffusion (NBEDF) is then applied to embed the watermark. The other method is referred to as Parity-Matched Error Diffusion (PMEDF). This approach achieves good image quality and capacity as high as 6.25 to 25%. Since the two techniques are blind, the decoder does not need any priori knowledge of the original halftone image or watermark. The capacity of the two approaches is also flexible to accommodate all kinds of applications. As the experimental results demonstrated, both techniques are able to guard against degradation due to cropping, tampering, and the print-and-scan process in error-diffused halftone images. Moreover, both methods have features of low computational complexity, low memory demand, and good image quality. © 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 202–214, 2010. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Imaging Systems & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ima.20239 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 202 Subjects: – SubjectFull: Digital image watermarking Type: general – SubjectFull: Halftone process Type: general – SubjectFull: Noise Type: general – SubjectFull: Image quality in imaging systems Type: general – SubjectFull: Diffusion Type: general – SubjectFull: Image processing Type: general Titles: – TitleFull: Watermarking in halftone images with noise balance strategy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jing-Ming Guo – PersonEntity: Name: NameFull: Soo-Chang Pei – PersonEntity: Name: NameFull: Hua Lee IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 08999457 Numbering: – Type: volume Value: 20 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Imaging Systems & Technology Type: main |
| ResultId | 1 |
