{"id":"https://openalex.org/W2915854594","doi":"https://doi.org/10.1007/s11042-019-7288-y","title":"Multi-scale segmentation strategies in PRNU-based image tampering localization","display_name":"Multi-scale segmentation strategies in PRNU-based image tampering localization","publication_year":2019,"publication_date":"2019-02-26","ids":{"openalex":"https://openalex.org/W2915854594","doi":"https://doi.org/10.1007/s11042-019-7288-y","mag":"2915854594"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-019-7288-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-019-7288-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-019-7288-y.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-019-7288-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100446785","display_name":"Weiwei Zhang","orcid":"https://orcid.org/0009-0009-9974-9882"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Zhang","raw_affiliation_strings":["School of Science, China Agricultural University, Beijing, 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, China Agricultural University, Beijing, 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076657169","display_name":"Xinhua Tang","orcid":"https://orcid.org/0000-0002-6966-4062"},"institutions":[{"id":"https://openalex.org/I4210102264","display_name":"Shandong University of Political Science and Law","ror":"https://ror.org/01b2j5886","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Tang","raw_affiliation_strings":["School of Information, Shandong University of Political Science and Law, Jinan, 250014, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Shandong University of Political Science and Law, Jinan, 250014, China","institution_ids":["https://openalex.org/I4210102264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115592336","display_name":"Zhenghong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghong Yang","raw_affiliation_strings":["School of Science, China Agricultural University, Beijing, 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, China Agricultural University, Beijing, 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003774412","display_name":"Shaozhang Niu","orcid":"https://orcid.org/0000-0002-9639-5910"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaozhang Niu","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003774412"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.0167,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.80336079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"78","issue":"14","first_page":"20113","last_page":"20132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","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/T12357","display_name":"Digital Media Forensic Detection","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8359639644622803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7016875147819519},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6218199133872986},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6192333698272705},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.502561092376709},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.47303980588912964},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.470405638217926},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.43902215361595154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4334966242313385},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4258248805999756},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4131554961204529},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3585960865020752},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2609706521034241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10009220242500305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8359639644622803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7016875147819519},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6218199133872986},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6192333698272705},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.502561092376709},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.47303980588912964},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.470405638217926},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.43902215361595154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4334966242313385},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4258248805999756},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4131554961204529},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3585960865020752},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2609706521034241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10009220242500305},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-019-7288-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-019-7288-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-019-7288-y.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11042-019-7288-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-019-7288-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-019-7288-y.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2030882823","display_name":null,"funder_award_id":"U1536121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6585739413","display_name":"\u65b0\u95fb\u7c7b\u6570\u5b57\u7167\u7247\u771f\u5b9e\u6027\u9274\u5b9a\u7684\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61370195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2915854594.pdf","grobid_xml":"https://content.openalex.org/works/W2915854594.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W262929956","https://openalex.org/W844806577","https://openalex.org/W1866695859","https://openalex.org/W1968164921","https://openalex.org/W1969703188","https://openalex.org/W1974183283","https://openalex.org/W1983586459","https://openalex.org/W1984038043","https://openalex.org/W1994743750","https://openalex.org/W2001788007","https://openalex.org/W2022436565","https://openalex.org/W2052950171","https://openalex.org/W2055797594","https://openalex.org/W2056370875","https://openalex.org/W2068575457","https://openalex.org/W2071794886","https://openalex.org/W2072773026","https://openalex.org/W2074503918","https://openalex.org/W2082008435","https://openalex.org/W2086407934","https://openalex.org/W2087361987","https://openalex.org/W2096571195","https://openalex.org/W2096754397","https://openalex.org/W2103610147","https://openalex.org/W2118246710","https://openalex.org/W2120818232","https://openalex.org/W2124695272","https://openalex.org/W2129721611","https://openalex.org/W2140948049","https://openalex.org/W2142738546","https://openalex.org/W2149073238","https://openalex.org/W2153998320","https://openalex.org/W2162963619","https://openalex.org/W2169499040","https://openalex.org/W2169551590","https://openalex.org/W2170343586","https://openalex.org/W2208109665","https://openalex.org/W2222402560","https://openalex.org/W2271556243","https://openalex.org/W2294458342","https://openalex.org/W2299470528","https://openalex.org/W2342499077","https://openalex.org/W2410977227","https://openalex.org/W2506635922","https://openalex.org/W2537160348","https://openalex.org/W2541922885","https://openalex.org/W2560026874","https://openalex.org/W2574852830","https://openalex.org/W2613703610","https://openalex.org/W2744134349","https://openalex.org/W2752015292","https://openalex.org/W2793914140","https://openalex.org/W3121767244"],"related_works":["https://openalex.org/W2109115373","https://openalex.org/W2390901981","https://openalex.org/W2353818951","https://openalex.org/W1605879311","https://openalex.org/W2611980620","https://openalex.org/W4230691760","https://openalex.org/W2385763735","https://openalex.org/W4391923333","https://openalex.org/W2386394344","https://openalex.org/W3014558862"],"abstract_inverted_index":{"With":[0],"the":[1,9,34,88,101,123,135,157,170,189,192,215,230,234,240,250,253,258,271],"rapid":[2],"development":[3],"of":[4,11,39,53,63,71,90,103,148,169,211],"advanced":[5],"media":[6],"technology,":[7],"especially":[8],"popularization":[10],"digital":[12,18,40],"cameras":[13],"and":[14,37,75,97,110,131,178,267],"image":[15,29,137],"editing":[16],"software,":[17],"images":[19,41],"can":[20,77,261],"be":[21,78],"easily":[22],"forged":[23],"without":[24],"leaving":[25],"visible":[26],"clues.":[27],"Therefore,":[28],"forensics":[30],"technology":[31],"for":[32,163,229,246],"identifying":[33],"accuracy,":[35],"integrity,":[36],"originality":[38],"has":[42],"become":[43],"increasingly":[44],"important.":[45],"Photo-response":[46],"non-uniformity":[47],"(PRNU)":[48],"noise,":[49],"a":[50,57,82,176,200,217],"unique":[51],"fingerprint":[52],"imaging":[54],"sensors,":[55],"is":[56,126,138,196,227],"valuable":[58],"forgery":[59,91,220],"detection":[60,67,265],"tool":[61],"because":[62],"its":[64],"consistently":[65],"good":[66],"performance.":[68],"All":[69],"kinds":[70],"forgeries,":[72],"including":[73],"copy-move":[74],"splicing,":[76],"dealt":[79],"with":[80,143,270],"in":[81,114,249],"uniform":[83],"manner.":[84],"This":[85],"paper":[86],"addresses":[87],"problem":[89],"localization":[92,221],"based":[93,128],"on":[94,120,129,152],"PRNU":[95,116,149],"estimation":[96],"aims":[98],"to":[99,155,205],"improve":[100],"resolution":[102],"PRNU-based":[104,219,274],"algorithms.":[105],"Different":[106],"from":[107],"traditional":[108],"overlapping":[109],"sliding":[111],"window-based":[112],"methods,":[113],"which":[115],"correlations":[117,147],"are":[118,150,173],"estimated":[119,151],"overlapped":[121],"patches,":[122],"proposed":[124,228,259],"scheme":[125,222,260],"analyzed":[127],"nonoverlapping":[130,225],"irregular":[132],"patches.":[133],"First,":[134],"test":[136],"segmented":[139],"into":[140,175],"nonoverlapped":[141,153],"patches":[142,154],"multiple":[144],"scales.":[145],"Second,":[146],"obtain":[156],"real-valued":[158],"candidate":[159,171,242],"tampering":[160,243],"probability":[161,181,244],"map":[162,182,195],"each":[164,247],"individual":[165],"scale.":[166],"Then,":[167],"all":[168],"maps":[172],"fused":[174],"single":[177],"more":[179],"reliable":[180],"through":[183],"an":[184],"adaptive":[185,235],"window":[186],"strategy.":[187],"In":[188],"final":[190,193],"step,":[191],"decision":[194],"obtained":[197],"by":[198],"adopting":[199],"conditional":[201],"random":[202],"field":[203],"(CRF)":[204],"model":[206],"neighborhood":[207],"interactions.":[208],"The":[209],"contributions":[210],"this":[212],"work":[213],"include":[214],"following:":[216],"novel":[218],"using":[223],"multi-scale":[224],"segmentation":[226],"first":[231],"time.":[232],"Furthermore,":[233],"fusion":[236],"strategy":[237],"involves":[238],"selecting":[239],"best":[241],"individually":[245],"location":[248],"image.":[251],"Additionally,":[252],"experimental":[254],"results":[255,266],"prove":[256],"that":[257],"achieve":[262],"much":[263],"better":[264],"robustness":[268],"compared":[269],"existing":[272],"state-of-the-art":[273],"methods.":[275]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}