Reversible watermarking based on multi-dimensional prediction-error expansion
Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) propos...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yu, Xiang [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2018 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2018 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Multimedia tools and applications - Springer US, 1995, 77(2018), 14 vom: 15. Mai, Seite 18085-18104 |
|---|---|
| Übergeordnetes Werk: |
volume:77 ; year:2018 ; number:14 ; day:15 ; month:05 ; pages:18085-18104 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11042-018-5794-y |
|---|
| Katalog-ID: |
OLC2035050413 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2035050413 | ||
| 003 | DE-627 | ||
| 005 | 20230503193307.0 | ||
| 007 | tu | ||
| 008 | 200819s2018 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s11042-018-5794-y |2 doi | |
| 035 | |a (DE-627)OLC2035050413 | ||
| 035 | |a (DE-He213)s11042-018-5794-y-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 070 |a 004 |q VZ |
| 100 | 1 | |a Yu, Xiang |e verfasserin |0 (orcid)0000-0003-3860-8989 |4 aut | |
| 245 | 1 | 0 | |a Reversible watermarking based on multi-dimensional prediction-error expansion |
| 264 | 1 | |c 2018 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer Science+Business Media, LLC, part of Springer Nature 2018 | ||
| 520 | |a Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) proposed a two-dimensional histogram shifting method to extend the conventional method, which yields better performance. This paper further expands the two-dimensional histogram shifting method, proposes a reversible watermarking algorithm based on multi-dimensional PEE and reduces the distortion by abandoning the embedding mappings with high distortion. The experimental result shows that the multi-dimensional PEE method can achieve relatively higher Peak Signal to Noise Ratio (PSNR) at the same embedding rate. In addition, it also proves that, the multi-dimensional PEE algorithm only needs to consider the simplest case of the embedding distortion threshold, and it is more suitable for images with simple and smooth texture. | ||
| 650 | 4 | |a Reversible digital watermarking | |
| 650 | 4 | |a Prediction-error Expansion | |
| 650 | 4 | |a Prediction-error group | |
| 650 | 4 | |a Histogram shifting | |
| 700 | 1 | |a Wang, Xiang |4 aut | |
| 700 | 1 | |a Pei, Qingqi |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Multimedia tools and applications |d Springer US, 1995 |g 77(2018), 14 vom: 15. Mai, Seite 18085-18104 |w (DE-627)189064145 |w (DE-600)1287642-2 |w (DE-576)052842126 |x 1380-7501 |7 nnns |
| 773 | 1 | 8 | |g volume:77 |g year:2018 |g number:14 |g day:15 |g month:05 |g pages:18085-18104 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s11042-018-5794-y |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-MAT | ||
| 912 | |a SSG-OLC-BUB | ||
| 912 | |a SSG-OLC-MKW | ||
| 912 | |a GBV_ILN_70 | ||
| 951 | |a AR | ||
| 952 | |d 77 |j 2018 |e 14 |b 15 |c 05 |h 18085-18104 | ||
| author_variant |
x y xy x w xw q p qp |
|---|---|
| matchkey_str |
article:13807501:2018----::eesbeaemrigaeomliiesoapei |
| hierarchy_sort_str |
2018 |
| publishDate |
2018 |
| allfields |
10.1007/s11042-018-5794-y doi (DE-627)OLC2035050413 (DE-He213)s11042-018-5794-y-p DE-627 ger DE-627 rakwb eng 070 004 VZ Yu, Xiang verfasserin (orcid)0000-0003-3860-8989 aut Reversible watermarking based on multi-dimensional prediction-error expansion 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) proposed a two-dimensional histogram shifting method to extend the conventional method, which yields better performance. This paper further expands the two-dimensional histogram shifting method, proposes a reversible watermarking algorithm based on multi-dimensional PEE and reduces the distortion by abandoning the embedding mappings with high distortion. The experimental result shows that the multi-dimensional PEE method can achieve relatively higher Peak Signal to Noise Ratio (PSNR) at the same embedding rate. In addition, it also proves that, the multi-dimensional PEE algorithm only needs to consider the simplest case of the embedding distortion threshold, and it is more suitable for images with simple and smooth texture. Reversible digital watermarking Prediction-error Expansion Prediction-error group Histogram shifting Wang, Xiang aut Pei, Qingqi aut Enthalten in Multimedia tools and applications Springer US, 1995 77(2018), 14 vom: 15. Mai, Seite 18085-18104 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:77 year:2018 number:14 day:15 month:05 pages:18085-18104 https://doi.org/10.1007/s11042-018-5794-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 AR 77 2018 14 15 05 18085-18104 |
| spelling |
10.1007/s11042-018-5794-y doi (DE-627)OLC2035050413 (DE-He213)s11042-018-5794-y-p DE-627 ger DE-627 rakwb eng 070 004 VZ Yu, Xiang verfasserin (orcid)0000-0003-3860-8989 aut Reversible watermarking based on multi-dimensional prediction-error expansion 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) proposed a two-dimensional histogram shifting method to extend the conventional method, which yields better performance. This paper further expands the two-dimensional histogram shifting method, proposes a reversible watermarking algorithm based on multi-dimensional PEE and reduces the distortion by abandoning the embedding mappings with high distortion. The experimental result shows that the multi-dimensional PEE method can achieve relatively higher Peak Signal to Noise Ratio (PSNR) at the same embedding rate. In addition, it also proves that, the multi-dimensional PEE algorithm only needs to consider the simplest case of the embedding distortion threshold, and it is more suitable for images with simple and smooth texture. Reversible digital watermarking Prediction-error Expansion Prediction-error group Histogram shifting Wang, Xiang aut Pei, Qingqi aut Enthalten in Multimedia tools and applications Springer US, 1995 77(2018), 14 vom: 15. Mai, Seite 18085-18104 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:77 year:2018 number:14 day:15 month:05 pages:18085-18104 https://doi.org/10.1007/s11042-018-5794-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 AR 77 2018 14 15 05 18085-18104 |
| allfields_unstemmed |
10.1007/s11042-018-5794-y doi (DE-627)OLC2035050413 (DE-He213)s11042-018-5794-y-p DE-627 ger DE-627 rakwb eng 070 004 VZ Yu, Xiang verfasserin (orcid)0000-0003-3860-8989 aut Reversible watermarking based on multi-dimensional prediction-error expansion 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) proposed a two-dimensional histogram shifting method to extend the conventional method, which yields better performance. This paper further expands the two-dimensional histogram shifting method, proposes a reversible watermarking algorithm based on multi-dimensional PEE and reduces the distortion by abandoning the embedding mappings with high distortion. The experimental result shows that the multi-dimensional PEE method can achieve relatively higher Peak Signal to Noise Ratio (PSNR) at the same embedding rate. In addition, it also proves that, the multi-dimensional PEE algorithm only needs to consider the simplest case of the embedding distortion threshold, and it is more suitable for images with simple and smooth texture. Reversible digital watermarking Prediction-error Expansion Prediction-error group Histogram shifting Wang, Xiang aut Pei, Qingqi aut Enthalten in Multimedia tools and applications Springer US, 1995 77(2018), 14 vom: 15. Mai, Seite 18085-18104 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:77 year:2018 number:14 day:15 month:05 pages:18085-18104 https://doi.org/10.1007/s11042-018-5794-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 AR 77 2018 14 15 05 18085-18104 |
| allfieldsGer |
10.1007/s11042-018-5794-y doi (DE-627)OLC2035050413 (DE-He213)s11042-018-5794-y-p DE-627 ger DE-627 rakwb eng 070 004 VZ Yu, Xiang verfasserin (orcid)0000-0003-3860-8989 aut Reversible watermarking based on multi-dimensional prediction-error expansion 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) proposed a two-dimensional histogram shifting method to extend the conventional method, which yields better performance. This paper further expands the two-dimensional histogram shifting method, proposes a reversible watermarking algorithm based on multi-dimensional PEE and reduces the distortion by abandoning the embedding mappings with high distortion. The experimental result shows that the multi-dimensional PEE method can achieve relatively higher Peak Signal to Noise Ratio (PSNR) at the same embedding rate. In addition, it also proves that, the multi-dimensional PEE algorithm only needs to consider the simplest case of the embedding distortion threshold, and it is more suitable for images with simple and smooth texture. Reversible digital watermarking Prediction-error Expansion Prediction-error group Histogram shifting Wang, Xiang aut Pei, Qingqi aut Enthalten in Multimedia tools and applications Springer US, 1995 77(2018), 14 vom: 15. Mai, Seite 18085-18104 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:77 year:2018 number:14 day:15 month:05 pages:18085-18104 https://doi.org/10.1007/s11042-018-5794-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 AR 77 2018 14 15 05 18085-18104 |
| allfieldsSound |
10.1007/s11042-018-5794-y doi (DE-627)OLC2035050413 (DE-He213)s11042-018-5794-y-p DE-627 ger DE-627 rakwb eng 070 004 VZ Yu, Xiang verfasserin (orcid)0000-0003-3860-8989 aut Reversible watermarking based on multi-dimensional prediction-error expansion 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) proposed a two-dimensional histogram shifting method to extend the conventional method, which yields better performance. This paper further expands the two-dimensional histogram shifting method, proposes a reversible watermarking algorithm based on multi-dimensional PEE and reduces the distortion by abandoning the embedding mappings with high distortion. The experimental result shows that the multi-dimensional PEE method can achieve relatively higher Peak Signal to Noise Ratio (PSNR) at the same embedding rate. In addition, it also proves that, the multi-dimensional PEE algorithm only needs to consider the simplest case of the embedding distortion threshold, and it is more suitable for images with simple and smooth texture. Reversible digital watermarking Prediction-error Expansion Prediction-error group Histogram shifting Wang, Xiang aut Pei, Qingqi aut Enthalten in Multimedia tools and applications Springer US, 1995 77(2018), 14 vom: 15. Mai, Seite 18085-18104 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:77 year:2018 number:14 day:15 month:05 pages:18085-18104 https://doi.org/10.1007/s11042-018-5794-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 AR 77 2018 14 15 05 18085-18104 |
| language |
English |
| source |
Enthalten in Multimedia tools and applications 77(2018), 14 vom: 15. Mai, Seite 18085-18104 volume:77 year:2018 number:14 day:15 month:05 pages:18085-18104 |
| sourceStr |
Enthalten in Multimedia tools and applications 77(2018), 14 vom: 15. Mai, Seite 18085-18104 volume:77 year:2018 number:14 day:15 month:05 pages:18085-18104 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Reversible digital watermarking Prediction-error Expansion Prediction-error group Histogram shifting |
| dewey-raw |
070 |
| isfreeaccess_bool |
false |
| container_title |
Multimedia tools and applications |
| authorswithroles_txt_mv |
Yu, Xiang @@aut@@ Wang, Xiang @@aut@@ Pei, Qingqi @@aut@@ |
| publishDateDaySort_date |
2018-05-15T00:00:00Z |
| hierarchy_top_id |
189064145 |
| dewey-sort |
270 |
| id |
OLC2035050413 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2035050413</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503193307.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2018 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11042-018-5794-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2035050413</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11042-018-5794-y-p</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="082" ind1="0" ind2="4"><subfield code="a">070</subfield><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yu, Xiang</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-3860-8989</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Reversible watermarking based on multi-dimensional prediction-error expansion</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC, part of Springer Nature 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) proposed a two-dimensional histogram shifting method to extend the conventional method, which yields better performance. This paper further expands the two-dimensional histogram shifting method, proposes a reversible watermarking algorithm based on multi-dimensional PEE and reduces the distortion by abandoning the embedding mappings with high distortion. The experimental result shows that the multi-dimensional PEE method can achieve relatively higher Peak Signal to Noise Ratio (PSNR) at the same embedding rate. In addition, it also proves that, the multi-dimensional PEE algorithm only needs to consider the simplest case of the embedding distortion threshold, and it is more suitable for images with simple and smooth texture.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reversible digital watermarking</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Prediction-error Expansion</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Prediction-error group</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Histogram shifting</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Xiang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pei, Qingqi</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Multimedia tools and applications</subfield><subfield code="d">Springer US, 1995</subfield><subfield code="g">77(2018), 14 vom: 15. Mai, Seite 18085-18104</subfield><subfield code="w">(DE-627)189064145</subfield><subfield code="w">(DE-600)1287642-2</subfield><subfield code="w">(DE-576)052842126</subfield><subfield code="x">1380-7501</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:77</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:14</subfield><subfield code="g">day:15</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:18085-18104</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11042-018-5794-y</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-BUB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MKW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">77</subfield><subfield code="j">2018</subfield><subfield code="e">14</subfield><subfield code="b">15</subfield><subfield code="c">05</subfield><subfield code="h">18085-18104</subfield></datafield></record></collection>
|
| author |
Yu, Xiang |
| spellingShingle |
Yu, Xiang ddc 070 misc Reversible digital watermarking misc Prediction-error Expansion misc Prediction-error group misc Histogram shifting Reversible watermarking based on multi-dimensional prediction-error expansion |
| authorStr |
Yu, Xiang |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)189064145 |
| format |
Article |
| dewey-ones |
070 - News media, journalism & publishing 004 - Data processing & computer science |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
1380-7501 |
| topic_title |
070 004 VZ Reversible watermarking based on multi-dimensional prediction-error expansion Reversible digital watermarking Prediction-error Expansion Prediction-error group Histogram shifting |
| topic |
ddc 070 misc Reversible digital watermarking misc Prediction-error Expansion misc Prediction-error group misc Histogram shifting |
| topic_unstemmed |
ddc 070 misc Reversible digital watermarking misc Prediction-error Expansion misc Prediction-error group misc Histogram shifting |
| topic_browse |
ddc 070 misc Reversible digital watermarking misc Prediction-error Expansion misc Prediction-error group misc Histogram shifting |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Multimedia tools and applications |
| hierarchy_parent_id |
189064145 |
| dewey-tens |
070 - News media, journalism & publishing 000 - Computer science, knowledge & systems |
| hierarchy_top_title |
Multimedia tools and applications |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 |
| title |
Reversible watermarking based on multi-dimensional prediction-error expansion |
| ctrlnum |
(DE-627)OLC2035050413 (DE-He213)s11042-018-5794-y-p |
| title_full |
Reversible watermarking based on multi-dimensional prediction-error expansion |
| author_sort |
Yu, Xiang |
| journal |
Multimedia tools and applications |
| journalStr |
Multimedia tools and applications |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
000 - Computer science, information & general works |
| recordtype |
marc |
| publishDateSort |
2018 |
| contenttype_str_mv |
txt |
| container_start_page |
18085 |
| author_browse |
Yu, Xiang Wang, Xiang Pei, Qingqi |
| container_volume |
77 |
| class |
070 004 VZ |
| format_se |
Aufsätze |
| author-letter |
Yu, Xiang |
| doi_str_mv |
10.1007/s11042-018-5794-y |
| normlink |
(ORCID)0000-0003-3860-8989 |
| normlink_prefix_str_mv |
(orcid)0000-0003-3860-8989 |
| dewey-full |
070 004 |
| title_sort |
reversible watermarking based on multi-dimensional prediction-error expansion |
| title_auth |
Reversible watermarking based on multi-dimensional prediction-error expansion |
| abstract |
Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) proposed a two-dimensional histogram shifting method to extend the conventional method, which yields better performance. This paper further expands the two-dimensional histogram shifting method, proposes a reversible watermarking algorithm based on multi-dimensional PEE and reduces the distortion by abandoning the embedding mappings with high distortion. The experimental result shows that the multi-dimensional PEE method can achieve relatively higher Peak Signal to Noise Ratio (PSNR) at the same embedding rate. In addition, it also proves that, the multi-dimensional PEE algorithm only needs to consider the simplest case of the embedding distortion threshold, and it is more suitable for images with simple and smooth texture. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
| abstractGer |
Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) proposed a two-dimensional histogram shifting method to extend the conventional method, which yields better performance. This paper further expands the two-dimensional histogram shifting method, proposes a reversible watermarking algorithm based on multi-dimensional PEE and reduces the distortion by abandoning the embedding mappings with high distortion. The experimental result shows that the multi-dimensional PEE method can achieve relatively higher Peak Signal to Noise Ratio (PSNR) at the same embedding rate. In addition, it also proves that, the multi-dimensional PEE algorithm only needs to consider the simplest case of the embedding distortion threshold, and it is more suitable for images with simple and smooth texture. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
| abstract_unstemmed |
Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) proposed a two-dimensional histogram shifting method to extend the conventional method, which yields better performance. This paper further expands the two-dimensional histogram shifting method, proposes a reversible watermarking algorithm based on multi-dimensional PEE and reduces the distortion by abandoning the embedding mappings with high distortion. The experimental result shows that the multi-dimensional PEE method can achieve relatively higher Peak Signal to Noise Ratio (PSNR) at the same embedding rate. In addition, it also proves that, the multi-dimensional PEE algorithm only needs to consider the simplest case of the embedding distortion threshold, and it is more suitable for images with simple and smooth texture. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 |
| container_issue |
14 |
| title_short |
Reversible watermarking based on multi-dimensional prediction-error expansion |
| url |
https://doi.org/10.1007/s11042-018-5794-y |
| remote_bool |
false |
| author2 |
Wang, Xiang Pei, Qingqi |
| author2Str |
Wang, Xiang Pei, Qingqi |
| ppnlink |
189064145 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s11042-018-5794-y |
| up_date |
2024-07-03T23:36:13.411Z |
| _version_ |
1803602911206309888 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2035050413</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503193307.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2018 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11042-018-5794-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2035050413</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11042-018-5794-y-p</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="082" ind1="0" ind2="4"><subfield code="a">070</subfield><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yu, Xiang</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-3860-8989</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Reversible watermarking based on multi-dimensional prediction-error expansion</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC, part of Springer Nature 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The reversible watermarking algorithm has been extensively studied in the field of information security in recent years, and prediction-error expansion (PEE) is a widely used technology for reversible watermarking embedding. Ou et al. (IEEE Trans Image Process 22(12):5010–5021, 2013) proposed a two-dimensional histogram shifting method to extend the conventional method, which yields better performance. This paper further expands the two-dimensional histogram shifting method, proposes a reversible watermarking algorithm based on multi-dimensional PEE and reduces the distortion by abandoning the embedding mappings with high distortion. The experimental result shows that the multi-dimensional PEE method can achieve relatively higher Peak Signal to Noise Ratio (PSNR) at the same embedding rate. In addition, it also proves that, the multi-dimensional PEE algorithm only needs to consider the simplest case of the embedding distortion threshold, and it is more suitable for images with simple and smooth texture.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reversible digital watermarking</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Prediction-error Expansion</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Prediction-error group</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Histogram shifting</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Xiang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pei, Qingqi</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Multimedia tools and applications</subfield><subfield code="d">Springer US, 1995</subfield><subfield code="g">77(2018), 14 vom: 15. Mai, Seite 18085-18104</subfield><subfield code="w">(DE-627)189064145</subfield><subfield code="w">(DE-600)1287642-2</subfield><subfield code="w">(DE-576)052842126</subfield><subfield code="x">1380-7501</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:77</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:14</subfield><subfield code="g">day:15</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:18085-18104</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11042-018-5794-y</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-BUB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MKW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">77</subfield><subfield code="j">2018</subfield><subfield code="e">14</subfield><subfield code="b">15</subfield><subfield code="c">05</subfield><subfield code="h">18085-18104</subfield></datafield></record></collection>
|
| score |
7.399665 |