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Improved data hiding in halftone images with cooperating pair toggling human visual system.

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Title: Improved data hiding in halftone images with cooperating pair toggling human visual system.
Authors: Jing-Ming Guo1 jmguo@seed.net.tw
Source: International Journal of Imaging Systems & Technology. 2007, Vol. 17 Issue 6, p328-332. 5p. 4 Black and White Photographs, 3 Graphs.
Subjects: Data analysis, Halftone process, Least squares, Image processing, Imaging systems
Abstract: An improved data hiding in halftone images with cooperating pair toggling human visual system is presented in this paper. An objective halftone image quality evaluation method based on the human visual system obtained by Least-Mean-Square (LMS) is also introduced. By rigorously searching the optimum toggled pixels with the proposed human visual LMS-trained filter, the proposed method is proven to be superior to the Data Hiding Smart Pair Toggling, proposed by Fu and Au [Fu and Au, IEEE Trans Image Process 11 (2002), 477–484], in image quality under a number of tested halftone images. The tested halftone images include ordered dithering [Ulichney, Digital Halftoning (1987)], Floyd error diffusion [Floyd and Steinberg, An adaptive algorithm for spatial gray scale (1975) 36–37], Jarvis error diffusion [Jarvis et al., Comp Graph Image Proc 5 (1976), 13–40], and Stucki error diffusion images. Moreover, the proposed method offers high embedded capacity, and it is flexible to deal with different capacity applications. © 2008 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 17, 328–332, 2007 [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.)
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DbLabel: Engineering Source
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  Data: Improved data hiding in halftone images with cooperating pair toggling human visual system.
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  Data: <searchLink fieldCode="AR" term="%22Jing-Ming+Guo%22">Jing-Ming Guo</searchLink><relatesTo>1</relatesTo><i> jmguo@seed.net.tw</i>
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  Data: <searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Halftone+process%22">Halftone process</searchLink><br /><searchLink fieldCode="DE" term="%22Least+squares%22">Least squares</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+systems%22">Imaging systems</searchLink>
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  Label: Abstract
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  Data: An improved data hiding in halftone images with cooperating pair toggling human visual system is presented in this paper. An objective halftone image quality evaluation method based on the human visual system obtained by Least-Mean-Square (LMS) is also introduced. By rigorously searching the optimum toggled pixels with the proposed human visual LMS-trained filter, the proposed method is proven to be superior to the Data Hiding Smart Pair Toggling, proposed by Fu and Au [Fu and Au, IEEE Trans Image Process 11 (2002), 477–484], in image quality under a number of tested halftone images. The tested halftone images include ordered dithering [Ulichney, Digital Halftoning (1987)], Floyd error diffusion [Floyd and Steinberg, An adaptive algorithm for spatial gray scale (1975) 36–37], Jarvis error diffusion [Jarvis et al., Comp Graph Image Proc 5 (1976), 13–40], and Stucki error diffusion images. Moreover, the proposed method offers high embedded capacity, and it is flexible to deal with different capacity applications. © 2008 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 17, 328–332, 2007 [ABSTRACT FROM AUTHOR]
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  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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        Value: 10.1002/ima.20128
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      – Code: eng
        Text: English
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        PageCount: 5
        StartPage: 328
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      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Halftone process
        Type: general
      – SubjectFull: Least squares
        Type: general
      – SubjectFull: Image processing
        Type: general
      – SubjectFull: Imaging systems
        Type: general
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      – TitleFull: Improved data hiding in halftone images with cooperating pair toggling human visual system.
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              Text: 2007
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              Value: 17
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            – TitleFull: International Journal of Imaging Systems & Technology
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