New cubic reference table based image steganography
Tradition reference table based (RTB) methods employ two pixels to conceal a secret digit according to a two-dimensional reference table. In this paper, x -dimensional reference table framework is defined, which can be regarded as generalization of the prior works. The available pixels to be embedde...
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| Veröffentlicht in: | Multimedia tools and applications 2018-04, Vol.77 (8), p.10033-10050 |
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| container_title | Multimedia tools and applications |
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| creator | Liao, Xin Guo, Sujing Yin, Jiaojiao Wang, Huan Li, Xiong Sangaiah, Arun Kumar |
| description | Tradition reference table based (RTB) methods employ two pixels to conceal a secret digit according to a two-dimensional reference table. In this paper,
x
-dimensional reference table framework is defined, which can be regarded as generalization of the prior works. The available pixels to be embedded are limited in two-dimensional space, so the proposed methods extend the dimensional space of reference table. Theoretical analyses are given to justify the effectiveness of the proposed construction. Two novel RTB methods named CRT (cubic reference table) and CRT-PVD (cubic reference table and pixel value differencing) are presented. The former is independent of image contents while embedding, and the latter is depended on the discriminated image smoothness. Experimental results show that two proposed methods can achieve better performance compared with the prior works. |
| doi_str_mv | 10.1007/s11042-017-4946-9 |
| format | Article |
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x
-dimensional reference table framework is defined, which can be regarded as generalization of the prior works. The available pixels to be embedded are limited in two-dimensional space, so the proposed methods extend the dimensional space of reference table. Theoretical analyses are given to justify the effectiveness of the proposed construction. Two novel RTB methods named CRT (cubic reference table) and CRT-PVD (cubic reference table and pixel value differencing) are presented. The former is independent of image contents while embedding, and the latter is depended on the discriminated image smoothness. Experimental results show that two proposed methods can achieve better performance compared with the prior works.</description><identifier>ISSN: 1380-7501</identifier><identifier>EISSN: 1573-7721</identifier><identifier>DOI: 10.1007/s11042-017-4946-9</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Computer Communication Networks ; Computer Science ; Data Structures and Information Theory ; Embedding ; Methods ; Multimedia Information Systems ; Neighborhoods ; Pixels ; Smoothness ; Special Purpose and Application-Based Systems ; Steganography ; Tables</subject><ispartof>Multimedia tools and applications, 2018-04, Vol.77 (8), p.10033-10050</ispartof><rights>Springer Science+Business Media, LLC 2017</rights><rights>Multimedia Tools and Applications is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-84aa76fac640c11853094db2fba66624017f242c42463f64eec0c24e2b1de8f33</citedby><cites>FETCH-LOGICAL-c316t-84aa76fac640c11853094db2fba66624017f242c42463f64eec0c24e2b1de8f33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11042-017-4946-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11042-017-4946-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Liao, Xin</creatorcontrib><creatorcontrib>Guo, Sujing</creatorcontrib><creatorcontrib>Yin, Jiaojiao</creatorcontrib><creatorcontrib>Wang, Huan</creatorcontrib><creatorcontrib>Li, Xiong</creatorcontrib><creatorcontrib>Sangaiah, Arun Kumar</creatorcontrib><title>New cubic reference table based image steganography</title><title>Multimedia tools and applications</title><addtitle>Multimed Tools Appl</addtitle><description>Tradition reference table based (RTB) methods employ two pixels to conceal a secret digit according to a two-dimensional reference table. In this paper,
x
-dimensional reference table framework is defined, which can be regarded as generalization of the prior works. The available pixels to be embedded are limited in two-dimensional space, so the proposed methods extend the dimensional space of reference table. Theoretical analyses are given to justify the effectiveness of the proposed construction. Two novel RTB methods named CRT (cubic reference table) and CRT-PVD (cubic reference table and pixel value differencing) are presented. The former is independent of image contents while embedding, and the latter is depended on the discriminated image smoothness. Experimental results show that two proposed methods can achieve better performance compared with the prior works.</description><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Data Structures and Information Theory</subject><subject>Embedding</subject><subject>Methods</subject><subject>Multimedia Information Systems</subject><subject>Neighborhoods</subject><subject>Pixels</subject><subject>Smoothness</subject><subject>Special Purpose and Application-Based Systems</subject><subject>Steganography</subject><subject>Tables</subject><issn>1380-7501</issn><issn>1573-7721</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1UE9LwzAUD6LgnH4AbwXP0feSNGmPMtQJQy96Dmn6UjdmO5MO2bc3o4InT-8dfv8Zu0a4RQBzlxBBCQ5ouKqV5vUJm2FpJDdG4Gn-ZQXclIDn7CKlDQDqUqgZky_0Xfh9s_ZFpECRek_F6JotFY1L1BbrT9dRkUbqXD900e0-DpfsLLhtoqvfO2fvjw9viyVfvT49L-5X3EvUI6-Uc0YH57UCj1iVEmrVNiI0TmstVM4ahBJeCaVl0IrIgxeKRIMtVUHKObuZdHdx-NpTGu1m2Mc-W1oBopZ1FoSMwgnl45BSLmF3MYeOB4tgj9vYaRub_exxG1tnjpg4KWP7juKf8v-kH9vgZRo</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Liao, Xin</creator><creator>Guo, Sujing</creator><creator>Yin, Jiaojiao</creator><creator>Wang, Huan</creator><creator>Li, Xiong</creator><creator>Sangaiah, Arun Kumar</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20180401</creationdate><title>New cubic reference table based image steganography</title><author>Liao, Xin ; 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In this paper,
x
-dimensional reference table framework is defined, which can be regarded as generalization of the prior works. The available pixels to be embedded are limited in two-dimensional space, so the proposed methods extend the dimensional space of reference table. Theoretical analyses are given to justify the effectiveness of the proposed construction. Two novel RTB methods named CRT (cubic reference table) and CRT-PVD (cubic reference table and pixel value differencing) are presented. The former is independent of image contents while embedding, and the latter is depended on the discriminated image smoothness. Experimental results show that two proposed methods can achieve better performance compared with the prior works.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11042-017-4946-9</doi><tpages>18</tpages></addata></record> |
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| subjects | Computer Communication Networks Computer Science Data Structures and Information Theory Embedding Methods Multimedia Information Systems Neighborhoods Pixels Smoothness Special Purpose and Application-Based Systems Steganography Tables |
| title | New cubic reference table based image steganography |
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