{"id":"https://openalex.org/W2889174623","doi":"https://doi.org/10.1109/access.2018.2866287","title":"A Color Image Watermarking Based on Tensor Analysis","display_name":"A Color Image Watermarking Based on Tensor Analysis","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2889174623","doi":"https://doi.org/10.1109/access.2018.2866287","mag":"2889174623"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2866287","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2866287","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2866287","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030642173","display_name":"Haiyong Xu","orcid":"https://orcid.org/0000-0003-1590-6799"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyong Xu","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101901919","display_name":"Gangyi Jiang","orcid":"https://orcid.org/0000-0002-9830-7048"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangyi Jiang","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-9830-7048","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025156","display_name":"Mei Yu","orcid":"https://orcid.org/0000-0002-2140-8756"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Yu","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060792504","display_name":"Ting Luo","orcid":"https://orcid.org/0000-0003-1762-148X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Luo","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8324,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.78741086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"51500","last_page":"51514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.7009795904159546},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.6121785640716553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6037835478782654},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5998539924621582},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5765953063964844},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5510474443435669},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.5336967706680298},{"id":"https://openalex.org/keywords/tucker-decomposition","display_name":"Tucker decomposition","score":0.5184585452079773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5104812383651733},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.47630465030670166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4494181275367737},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.44783639907836914},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4336436986923218},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32343417406082153},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2766987383365631},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.1436360478401184},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.070803701877594}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.7009795904159546},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.6121785640716553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6037835478782654},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5998539924621582},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5765953063964844},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5510474443435669},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.5336967706680298},{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.5184585452079773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5104812383651733},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.47630465030670166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4494181275367737},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.44783639907836914},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4336436986923218},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32343417406082153},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2766987383365631},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.1436360478401184},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.070803701877594},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2866287","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2866287","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:43594dd5ba394977a14205f9b557e256","is_oa":true,"landing_page_url":"https://doaj.org/article/43594dd5ba394977a14205f9b557e256","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 51500-51514 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2866287","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2866287","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1457850055","display_name":null,"funder_award_id":"61501270","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2901804913","display_name":null,"funder_award_id":"LY15F010005","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3431687089","display_name":null,"funder_award_id":"2017A610127","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G4582580041","display_name":"\u9762\u5411\u7528\u6237\u4f53\u9a8c\u8d28\u91cf\u7684\u9ad8\u65483D\u89c6\u9891\u7f16\u7801\u7406\u8bba\u4e0e\u65b9\u6cd5","funder_award_id":"61471348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5534660064","display_name":null,"funder_award_id":"61671258","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6161485187","display_name":null,"funder_award_id":"U1301257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G67402291","display_name":null,"funder_award_id":"2016A610071","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322605","display_name":"Ningbo University","ror":"https://ror.org/03et85d35"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1575230410","https://openalex.org/W1578729169","https://openalex.org/W1893198666","https://openalex.org/W1976779262","https://openalex.org/W1979005107","https://openalex.org/W2032612770","https://openalex.org/W2035188902","https://openalex.org/W2041560266","https://openalex.org/W2045642499","https://openalex.org/W2051276014","https://openalex.org/W2057515749","https://openalex.org/W2067341309","https://openalex.org/W2072142347","https://openalex.org/W2083623877","https://openalex.org/W2089459031","https://openalex.org/W2091729429","https://openalex.org/W2107465879","https://openalex.org/W2118023809","https://openalex.org/W2123256925","https://openalex.org/W2126660587","https://openalex.org/W2132285113","https://openalex.org/W2134503881","https://openalex.org/W2143120554","https://openalex.org/W2155404304","https://openalex.org/W2156351904","https://openalex.org/W2345246736","https://openalex.org/W2513661894","https://openalex.org/W2560392893","https://openalex.org/W2576609974","https://openalex.org/W2579318272","https://openalex.org/W2601156247","https://openalex.org/W2606880804","https://openalex.org/W2616678700","https://openalex.org/W2765934933","https://openalex.org/W6639522609","https://openalex.org/W6668262444","https://openalex.org/W6678600934","https://openalex.org/W6679697385","https://openalex.org/W6680136931","https://openalex.org/W6735441776"],"related_works":["https://openalex.org/W2137394636","https://openalex.org/W2358993821","https://openalex.org/W1516446231","https://openalex.org/W2098152888","https://openalex.org/W1559740347","https://openalex.org/W2040356834","https://openalex.org/W2080353903","https://openalex.org/W2385289568","https://openalex.org/W2381486749","https://openalex.org/W1514507288"],"abstract_inverted_index":{"Since":[0],"most":[1,206],"of":[2,18,25,63,67,78,100,105,114,125,155,181],"the":[3,9,22,26,35,53,64,72,86,97,101,106,110,122,126,135,142,148,151,156,162,168,172,178,182,186,195,205],"color":[4,20,27,47,68,79,127,183],"image":[5,28,48,128,184],"watermarking":[6,49],"methods":[7],"embed":[8,91],"watermark":[10,73,94,163,173],"information":[11,24,74,95,164,174],"in":[12,34],"each":[13],"channel":[14,17],"or":[15],"one":[16],"a":[19,44,130],"image,":[21],"redundant":[23],"cannot":[29],"be":[30,118],"sufficiently":[31],"utilized,":[32],"resulting":[33],"poor":[36],"ability":[37],"to":[38,90,140,177],"resist":[39],"attacks.":[40,208],"In":[41],"this":[42,115],"paper,":[43],"novel":[45],"blind":[46],"method":[50,197],"based":[51,81,146],"on":[52,82,147],"tensor":[54,83,88,108,131,136,158,188],"domain":[55,89],"is":[56,138,159,165,175],"proposed,":[57],"and":[58,70,92,96,134,161,201],"it":[59],"takes":[60],"efficient":[61],"account":[62],"overall":[65],"characteristics":[66],"images":[69,80],"spreads":[71],"into":[75,167],"three":[76,179],"channels":[77,124,180],"decomposition.":[84,189],"Exploring":[85],"new":[87],"extract":[93],"theoretical":[98,149],"proof":[99],"optimal":[102,152],"embedding":[103,153],"position":[104,154],"core":[107,143,157,169],"are":[109,132],"major":[111],"technical":[112],"contributions":[113],"paper.":[116],"To":[117],"more":[119],"specific,":[120],"first,":[121],"RGB":[123],"as":[129],"considered,":[133],"decomposition":[137],"used":[139],"obtain":[141],"tensor.":[144,170],"Then,":[145],"proof,":[150],"obtained,":[160],"embedded":[166],"Finally,":[171],"spread":[176],"through":[185],"inverse":[187],"The":[190],"experimental":[191],"results":[192],"show":[193],"that":[194],"proposed":[196],"has":[198],"better":[199],"invisibility":[200],"stronger":[202],"robustness":[203],"for":[204],"common":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
