RETRACTED ARTICLE: Enhanced semantic visual secret sharing scheme for the secure image communication
Sharing multimedia information through the means of internet has increased many folds in this digital world. Information needs to be send across various secure channel as it contains sensitive data such as bank account details, medical reports or any financial documents. Due to the importance of inf...
Gespeichert in:
| Veröffentlicht in: | Multimedia tools and applications 2020-06, Vol.79 (23-24), p.17057-17079 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 17079 |
|---|---|
| container_issue | 23-24 |
| container_start_page | 17057 |
| container_title | Multimedia tools and applications |
| container_volume | 79 |
| creator | John Blesswin A Raj, Christhu Sukumaran, Rajeev Selva Mary G |
| description | Sharing multimedia information through the means of internet has increased many folds in this digital world. Information needs to be send across various secure channel as it contains sensitive data such as bank account details, medical reports or any financial documents. Due to the importance of information sharing, security is the most important objective that needs to be addressed while sharing this sensitive information. In order to share the information securely, one such way is visual secret sharing or visual cryptography. In this paper, introduced Enhanced Semantic Visual Secret Sharing (ESVSS) Scheme that transmits a gray-scale secret image to the receiver using two color cover images. At the receiver end, the secret image is reconstructed by digitally stacking the shares together. The result analysis shows that the ESVSS achieves security and improves the quality of the reconstructed image. The quality is measured by Peak Signal to Noise Ratio (PSNR) up to +39 dB and Mean Square Error is reduced to 6. The Universal Image Quality Index (UIQI) results are recorded up to 90% for the reconstructed image with minimal computational complexity. |
| doi_str_mv | 10.1007/s11042-019-7535-2 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3064764845</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3064764845</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1612-63007c9ee452cf62c90ebca5c4d6400cfafc5966d19864fb6db1b20c18102343</originalsourceid><addsrcrecordid>eNp1UMFKxDAQDaLguvoB3gKeqzNpmrbellp1YUFYeg9pmm67bNs1aQX_3pQKnjzNDPPem3mPkHuERwSInxwicBYApkEchVHALsgKozgM4pjhpe_DBPwG8JrcOHcEQBExviLVPi_2m6zIX-hmX2yzXf5M875RvTYVdaZT_dhq-tW6SZ38rK0ZqWuUbfsDdboxnaH1YOnYmHk7WUPbTh0M1UPXTX2r1dgO_S25qtXJmbvfuibFa15k78Hu422bbXaBRoEsEKF3olNjeMR0LZhOwZRaRZpXggPoWtU6SoWoME0Er0tRlVgy0JggsJCHa_KwyJ7t8DkZN8rjMNneX5QhCB4LnvDIo3BBaTs4Z00tz9b_bL8lgpyzlEuW0mcp5ywl8xy2cNx5dm7sn_L_pB_Q7HWb</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3064764845</pqid></control><display><type>article</type><title>RETRACTED ARTICLE: Enhanced semantic visual secret sharing scheme for the secure image communication</title><source>SpringerLink Journals (MCLS)</source><creator>John Blesswin A ; Raj, Christhu ; Sukumaran, Rajeev ; Selva Mary G</creator><creatorcontrib>John Blesswin A ; Raj, Christhu ; Sukumaran, Rajeev ; Selva Mary G</creatorcontrib><description>Sharing multimedia information through the means of internet has increased many folds in this digital world. Information needs to be send across various secure channel as it contains sensitive data such as bank account details, medical reports or any financial documents. Due to the importance of information sharing, security is the most important objective that needs to be addressed while sharing this sensitive information. In order to share the information securely, one such way is visual secret sharing or visual cryptography. In this paper, introduced Enhanced Semantic Visual Secret Sharing (ESVSS) Scheme that transmits a gray-scale secret image to the receiver using two color cover images. At the receiver end, the secret image is reconstructed by digitally stacking the shares together. The result analysis shows that the ESVSS achieves security and improves the quality of the reconstructed image. The quality is measured by Peak Signal to Noise Ratio (PSNR) up to +39 dB and Mean Square Error is reduced to 6. The Universal Image Quality Index (UIQI) results are recorded up to 90% for the reconstructed image with minimal computational complexity.</description><identifier>ISSN: 1380-7501</identifier><identifier>EISSN: 1573-7721</identifier><identifier>DOI: 10.1007/s11042-019-7535-2</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Computer Communication Networks ; Computer Science ; Data Structures and Information Theory ; Image enhancement ; Image quality ; Image reconstruction ; Multimedia ; Multimedia Information Systems ; Security ; Semantics ; Signal to noise ratio ; Special Purpose and Application-Based Systems</subject><ispartof>Multimedia tools and applications, 2020-06, Vol.79 (23-24), p.17057-17079</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1612-63007c9ee452cf62c90ebca5c4d6400cfafc5966d19864fb6db1b20c18102343</citedby><cites>FETCH-LOGICAL-c1612-63007c9ee452cf62c90ebca5c4d6400cfafc5966d19864fb6db1b20c18102343</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/s11042-019-7535-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11042-019-7535-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>John Blesswin A</creatorcontrib><creatorcontrib>Raj, Christhu</creatorcontrib><creatorcontrib>Sukumaran, Rajeev</creatorcontrib><creatorcontrib>Selva Mary G</creatorcontrib><title>RETRACTED ARTICLE: Enhanced semantic visual secret sharing scheme for the secure image communication</title><title>Multimedia tools and applications</title><addtitle>Multimed Tools Appl</addtitle><description>Sharing multimedia information through the means of internet has increased many folds in this digital world. Information needs to be send across various secure channel as it contains sensitive data such as bank account details, medical reports or any financial documents. Due to the importance of information sharing, security is the most important objective that needs to be addressed while sharing this sensitive information. In order to share the information securely, one such way is visual secret sharing or visual cryptography. In this paper, introduced Enhanced Semantic Visual Secret Sharing (ESVSS) Scheme that transmits a gray-scale secret image to the receiver using two color cover images. At the receiver end, the secret image is reconstructed by digitally stacking the shares together. The result analysis shows that the ESVSS achieves security and improves the quality of the reconstructed image. The quality is measured by Peak Signal to Noise Ratio (PSNR) up to +39 dB and Mean Square Error is reduced to 6. The Universal Image Quality Index (UIQI) results are recorded up to 90% for the reconstructed image with minimal computational complexity.</description><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Data Structures and Information Theory</subject><subject>Image enhancement</subject><subject>Image quality</subject><subject>Image reconstruction</subject><subject>Multimedia</subject><subject>Multimedia Information Systems</subject><subject>Security</subject><subject>Semantics</subject><subject>Signal to noise ratio</subject><subject>Special Purpose and Application-Based Systems</subject><issn>1380-7501</issn><issn>1573-7721</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1UMFKxDAQDaLguvoB3gKeqzNpmrbellp1YUFYeg9pmm67bNs1aQX_3pQKnjzNDPPem3mPkHuERwSInxwicBYApkEchVHALsgKozgM4pjhpe_DBPwG8JrcOHcEQBExviLVPi_2m6zIX-hmX2yzXf5M875RvTYVdaZT_dhq-tW6SZ38rK0ZqWuUbfsDdboxnaH1YOnYmHk7WUPbTh0M1UPXTX2r1dgO_S25qtXJmbvfuibFa15k78Hu422bbXaBRoEsEKF3olNjeMR0LZhOwZRaRZpXggPoWtU6SoWoME0Er0tRlVgy0JggsJCHa_KwyJ7t8DkZN8rjMNneX5QhCB4LnvDIo3BBaTs4Z00tz9b_bL8lgpyzlEuW0mcp5ywl8xy2cNx5dm7sn_L_pB_Q7HWb</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>John Blesswin A</creator><creator>Raj, Christhu</creator><creator>Sukumaran, Rajeev</creator><creator>Selva Mary G</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>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20200601</creationdate><title>RETRACTED ARTICLE: Enhanced semantic visual secret sharing scheme for the secure image communication</title><author>John Blesswin A ; Raj, Christhu ; Sukumaran, Rajeev ; Selva Mary G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1612-63007c9ee452cf62c90ebca5c4d6400cfafc5966d19864fb6db1b20c18102343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer Communication Networks</topic><topic>Computer Science</topic><topic>Data Structures and Information Theory</topic><topic>Image enhancement</topic><topic>Image quality</topic><topic>Image reconstruction</topic><topic>Multimedia</topic><topic>Multimedia Information Systems</topic><topic>Security</topic><topic>Semantics</topic><topic>Signal to noise ratio</topic><topic>Special Purpose and Application-Based Systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>John Blesswin A</creatorcontrib><creatorcontrib>Raj, Christhu</creatorcontrib><creatorcontrib>Sukumaran, Rajeev</creatorcontrib><creatorcontrib>Selva Mary G</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Research Library (ProQuest)</collection><collection>Research Library (Corporate)</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Multimedia tools and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>John Blesswin A</au><au>Raj, Christhu</au><au>Sukumaran, Rajeev</au><au>Selva Mary G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>RETRACTED ARTICLE: Enhanced semantic visual secret sharing scheme for the secure image communication</atitle><jtitle>Multimedia tools and applications</jtitle><stitle>Multimed Tools Appl</stitle><date>2020-06-01</date><risdate>2020</risdate><volume>79</volume><issue>23-24</issue><spage>17057</spage><epage>17079</epage><pages>17057-17079</pages><issn>1380-7501</issn><eissn>1573-7721</eissn><abstract>Sharing multimedia information through the means of internet has increased many folds in this digital world. Information needs to be send across various secure channel as it contains sensitive data such as bank account details, medical reports or any financial documents. Due to the importance of information sharing, security is the most important objective that needs to be addressed while sharing this sensitive information. In order to share the information securely, one such way is visual secret sharing or visual cryptography. In this paper, introduced Enhanced Semantic Visual Secret Sharing (ESVSS) Scheme that transmits a gray-scale secret image to the receiver using two color cover images. At the receiver end, the secret image is reconstructed by digitally stacking the shares together. The result analysis shows that the ESVSS achieves security and improves the quality of the reconstructed image. The quality is measured by Peak Signal to Noise Ratio (PSNR) up to +39 dB and Mean Square Error is reduced to 6. The Universal Image Quality Index (UIQI) results are recorded up to 90% for the reconstructed image with minimal computational complexity.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11042-019-7535-2</doi><tpages>23</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1380-7501 |
| ispartof | Multimedia tools and applications, 2020-06, Vol.79 (23-24), p.17057-17079 |
| issn | 1380-7501 1573-7721 |
| language | eng |
| recordid | cdi_proquest_journals_3064764845 |
| source | SpringerLink Journals (MCLS) |
| subjects | Computer Communication Networks Computer Science Data Structures and Information Theory Image enhancement Image quality Image reconstruction Multimedia Multimedia Information Systems Security Semantics Signal to noise ratio Special Purpose and Application-Based Systems |
| title | RETRACTED ARTICLE: Enhanced semantic visual secret sharing scheme for the secure image communication |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T18%3A35%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=RETRACTED%20ARTICLE:%20Enhanced%20semantic%20visual%20secret%20sharing%20scheme%20for%20the%20secure%20image%20communication&rft.jtitle=Multimedia%20tools%20and%20applications&rft.au=John%20Blesswin%20A&rft.date=2020-06-01&rft.volume=79&rft.issue=23-24&rft.spage=17057&rft.epage=17079&rft.pages=17057-17079&rft.issn=1380-7501&rft.eissn=1573-7721&rft_id=info:doi/10.1007/s11042-019-7535-2&rft_dat=%3Cproquest_cross%3E3064764845%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3064764845&rft_id=info:pmid/&rfr_iscdi=true |