Optimized 3D Watermarking for Minimal Surface Distortion
This paper proposes a new approach to 3D watermarking by ensuring the optimal preservation of mesh surfaces. A new 3D surface preservation function metric is defined consisting of the distance of a vertex displaced by watermarking to the original surface, to the watermarked object surface as well as...
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| Veröffentlicht in: | IEEE transactions on image processing 2013-05, Vol.22 (5), p.1822-1835 |
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| container_title | IEEE transactions on image processing |
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| creator | Bors, A. G. Ming Luo |
| description | This paper proposes a new approach to 3D watermarking by ensuring the optimal preservation of mesh surfaces. A new 3D surface preservation function metric is defined consisting of the distance of a vertex displaced by watermarking to the original surface, to the watermarked object surface as well as the actual vertex displacement. The proposed method is statistical, blind, and robust. Minimal surface distortion according to the proposed function metric is enforced during the statistical watermark embedding stage using Levenberg-Marquardt optimization method. A study of the watermark code crypto-security is provided for the proposed methodology. According to the experimental results, the proposed methodology has high robustness against the common mesh attacks while preserving the original object surface during watermarking. |
| doi_str_mv | 10.1109/TIP.2012.2236345 |
| format | Article |
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According to the experimental results, the proposed methodology has high robustness against the common mesh attacks while preserving the original object surface during watermarking.</description><subject>3D digital watermarking</subject><subject>Applied sciences</subject><subject>Cryptography</subject><subject>Exact sciences and technology</subject><subject>Histograms</subject><subject>Image processing</subject><subject>Information, signal and communications theory</subject><subject>Levenberg-Marquardt optimization</subject><subject>Measurement</subject><subject>Robustness</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>surface error minimization</subject><subject>Surface treatment</subject><subject>Telecommunications and information theory</subject><subject>Watermarking</subject><issn>1057-7149</issn><issn>1941-0042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpFkEtLw0AURgdRbK3uBUGyEdykzp1HkllK66NQqWDF5TCZmchoHnUmWeivN6Wxru6Fe76Py0HoHPAUAIub9eJ5SjCQKSE0oYwfoDEIBjHGjBz2O-ZpnAITI3QSwgfGwDgkx2hEKMkyStMxylab1lXux5qIzqM31VpfKf_p6veoaHz05GpXqTJ66XyhtI3mLrSNb11Tn6KjQpXBng1zgl7v79azx3i5eljMbpexpky0McdZKkhuDQeSU5IbbMDoXAjKLCuAc2ESbrRiCnNOc5YSYFQVyiTGci0wnaDrXe_GN1-dDa2sXNC2LFVtmy5IoJAlmWCY9Cjeodo3IXhbyI3vv_ffErDc-pK9L7n1JQdffeRyaO_yypp94E9QD1wNgApalYVXtXbhn0tZxgCSnrvYcc5auz8nVBDBGP0FGQN6JA</recordid><startdate>20130501</startdate><enddate>20130501</enddate><creator>Bors, A. 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G.</creatorcontrib><creatorcontrib>Ming Luo</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on image processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bors, A. G.</au><au>Ming Luo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimized 3D Watermarking for Minimal Surface Distortion</atitle><jtitle>IEEE transactions on image processing</jtitle><stitle>TIP</stitle><addtitle>IEEE Trans Image Process</addtitle><date>2013-05-01</date><risdate>2013</risdate><volume>22</volume><issue>5</issue><spage>1822</spage><epage>1835</epage><pages>1822-1835</pages><issn>1057-7149</issn><eissn>1941-0042</eissn><coden>IIPRE4</coden><abstract>This paper proposes a new approach to 3D watermarking by ensuring the optimal preservation of mesh surfaces. A new 3D surface preservation function metric is defined consisting of the distance of a vertex displaced by watermarking to the original surface, to the watermarked object surface as well as the actual vertex displacement. The proposed method is statistical, blind, and robust. Minimal surface distortion according to the proposed function metric is enforced during the statistical watermark embedding stage using Levenberg-Marquardt optimization method. A study of the watermark code crypto-security is provided for the proposed methodology. According to the experimental results, the proposed methodology has high robustness against the common mesh attacks while preserving the original object surface during watermarking.</abstract><cop>New York, NY</cop><pub>IEEE</pub><pmid>23288337</pmid><doi>10.1109/TIP.2012.2236345</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | 3D digital watermarking Applied sciences Cryptography Exact sciences and technology Histograms Image processing Information, signal and communications theory Levenberg-Marquardt optimization Measurement Robustness Signal and communications theory Signal processing surface error minimization Surface treatment Telecommunications and information theory Watermarking |
| title | Optimized 3D Watermarking for Minimal Surface Distortion |
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