A Technique to Evaluate Upper Bounds on Performance of Pixel–prediction Based Reversible Watermarking Algorithms
Abstract Reversible watermarking algorithms allow distortion–free recovery of the cover image after watermark extraction. Current state–of–the–art does not allow the prediction of the upper bounds of the embedding capacity and distortion characteristics of reversible watermarking algorithms for a gi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Naskar, Ruchira [verfasserIn] Chakraborty, Rajat Subhra [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of VLSI signal processing systems for signal, image and video technology - Springer Netherlands, 1989, 82(2015), 3 vom: 12. Juni, Seite 373-389 |
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| Übergeordnetes Werk: |
volume:82 ; year:2015 ; number:3 ; day:12 ; month:06 ; pages:373-389 |
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10.1007/s11265-015-1009-1 |
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| 520 | |a Abstract Reversible watermarking algorithms allow distortion–free recovery of the cover image after watermark extraction. Current state–of–the–art does not allow the prediction of the upper bounds of the embedding capacity and distortion characteristics of reversible watermarking algorithms for a given image. In this work, we develop a statistical modelling technique to derive closed form expressions for upper bounds on these performance metrics of pixel–prediction based reversible watermarking algorithms, independent of the actual algorithm used. Comparison of the derived metrics and performance trends with those obtained from two recently reported reversible watermarking algorithms show that the developed model is accurate and consistent. | ||
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10.1007/s11265-015-1009-1 doi (DE-627)SPR018329357 (SPR)s11265-015-1009-1-e DE-627 ger DE-627 rakwb eng Naskar, Ruchira verfasserin aut A Technique to Evaluate Upper Bounds on Performance of Pixel–prediction Based Reversible Watermarking Algorithms 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Reversible watermarking algorithms allow distortion–free recovery of the cover image after watermark extraction. Current state–of–the–art does not allow the prediction of the upper bounds of the embedding capacity and distortion characteristics of reversible watermarking algorithms for a given image. In this work, we develop a statistical modelling technique to derive closed form expressions for upper bounds on these performance metrics of pixel–prediction based reversible watermarking algorithms, independent of the actual algorithm used. Comparison of the derived metrics and performance trends with those obtained from two recently reported reversible watermarking algorithms show that the developed model is accurate and consistent. Digital authentication (dpeaa)DE-He213 Digital watermarking (dpeaa)DE-He213 Performance estimation (dpeaa)DE-He213 Reversible watermarking (dpeaa)DE-He213 Statistical modelling (dpeaa)DE-He213 Chakraborty, Rajat Subhra verfasserin aut Enthalten in Journal of VLSI signal processing systems for signal, image and video technology Springer Netherlands, 1989 82(2015), 3 vom: 12. Juni, Seite 373-389 (DE-627)SPR018308090 nnns volume:82 year:2015 number:3 day:12 month:06 pages:373-389 https://dx.doi.org/10.1007/s11265-015-1009-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_40 GBV_ILN_2006 GBV_ILN_2027 AR 82 2015 3 12 06 373-389 |
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10.1007/s11265-015-1009-1 doi (DE-627)SPR018329357 (SPR)s11265-015-1009-1-e DE-627 ger DE-627 rakwb eng Naskar, Ruchira verfasserin aut A Technique to Evaluate Upper Bounds on Performance of Pixel–prediction Based Reversible Watermarking Algorithms 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Reversible watermarking algorithms allow distortion–free recovery of the cover image after watermark extraction. Current state–of–the–art does not allow the prediction of the upper bounds of the embedding capacity and distortion characteristics of reversible watermarking algorithms for a given image. In this work, we develop a statistical modelling technique to derive closed form expressions for upper bounds on these performance metrics of pixel–prediction based reversible watermarking algorithms, independent of the actual algorithm used. Comparison of the derived metrics and performance trends with those obtained from two recently reported reversible watermarking algorithms show that the developed model is accurate and consistent. Digital authentication (dpeaa)DE-He213 Digital watermarking (dpeaa)DE-He213 Performance estimation (dpeaa)DE-He213 Reversible watermarking (dpeaa)DE-He213 Statistical modelling (dpeaa)DE-He213 Chakraborty, Rajat Subhra verfasserin aut Enthalten in Journal of VLSI signal processing systems for signal, image and video technology Springer Netherlands, 1989 82(2015), 3 vom: 12. Juni, Seite 373-389 (DE-627)SPR018308090 nnns volume:82 year:2015 number:3 day:12 month:06 pages:373-389 https://dx.doi.org/10.1007/s11265-015-1009-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_40 GBV_ILN_2006 GBV_ILN_2027 AR 82 2015 3 12 06 373-389 |
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10.1007/s11265-015-1009-1 doi (DE-627)SPR018329357 (SPR)s11265-015-1009-1-e DE-627 ger DE-627 rakwb eng Naskar, Ruchira verfasserin aut A Technique to Evaluate Upper Bounds on Performance of Pixel–prediction Based Reversible Watermarking Algorithms 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Reversible watermarking algorithms allow distortion–free recovery of the cover image after watermark extraction. Current state–of–the–art does not allow the prediction of the upper bounds of the embedding capacity and distortion characteristics of reversible watermarking algorithms for a given image. In this work, we develop a statistical modelling technique to derive closed form expressions for upper bounds on these performance metrics of pixel–prediction based reversible watermarking algorithms, independent of the actual algorithm used. Comparison of the derived metrics and performance trends with those obtained from two recently reported reversible watermarking algorithms show that the developed model is accurate and consistent. Digital authentication (dpeaa)DE-He213 Digital watermarking (dpeaa)DE-He213 Performance estimation (dpeaa)DE-He213 Reversible watermarking (dpeaa)DE-He213 Statistical modelling (dpeaa)DE-He213 Chakraborty, Rajat Subhra verfasserin aut Enthalten in Journal of VLSI signal processing systems for signal, image and video technology Springer Netherlands, 1989 82(2015), 3 vom: 12. Juni, Seite 373-389 (DE-627)SPR018308090 nnns volume:82 year:2015 number:3 day:12 month:06 pages:373-389 https://dx.doi.org/10.1007/s11265-015-1009-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_40 GBV_ILN_2006 GBV_ILN_2027 AR 82 2015 3 12 06 373-389 |
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Abstract Reversible watermarking algorithms allow distortion–free recovery of the cover image after watermark extraction. Current state–of–the–art does not allow the prediction of the upper bounds of the embedding capacity and distortion characteristics of reversible watermarking algorithms for a given image. In this work, we develop a statistical modelling technique to derive closed form expressions for upper bounds on these performance metrics of pixel–prediction based reversible watermarking algorithms, independent of the actual algorithm used. Comparison of the derived metrics and performance trends with those obtained from two recently reported reversible watermarking algorithms show that the developed model is accurate and consistent. |
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Abstract Reversible watermarking algorithms allow distortion–free recovery of the cover image after watermark extraction. Current state–of–the–art does not allow the prediction of the upper bounds of the embedding capacity and distortion characteristics of reversible watermarking algorithms for a given image. In this work, we develop a statistical modelling technique to derive closed form expressions for upper bounds on these performance metrics of pixel–prediction based reversible watermarking algorithms, independent of the actual algorithm used. Comparison of the derived metrics and performance trends with those obtained from two recently reported reversible watermarking algorithms show that the developed model is accurate and consistent. |
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Abstract Reversible watermarking algorithms allow distortion–free recovery of the cover image after watermark extraction. Current state–of–the–art does not allow the prediction of the upper bounds of the embedding capacity and distortion characteristics of reversible watermarking algorithms for a given image. In this work, we develop a statistical modelling technique to derive closed form expressions for upper bounds on these performance metrics of pixel–prediction based reversible watermarking algorithms, independent of the actual algorithm used. Comparison of the derived metrics and performance trends with those obtained from two recently reported reversible watermarking algorithms show that the developed model is accurate and consistent. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR018329357</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20201124222415.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201006s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11265-015-1009-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR018329357</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11265-015-1009-1-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Naskar, Ruchira</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Technique to Evaluate Upper Bounds on Performance of Pixel–prediction Based Reversible Watermarking Algorithms</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Reversible watermarking algorithms allow distortion–free recovery of the cover image after watermark extraction. 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