{"id":"https://openalex.org/W2148916415","doi":"https://doi.org/10.1109/icme.2010.5582952","title":"Using improved imaging sensor pattern noise for source camera identification","display_name":"Using improved imaging sensor pattern noise for source camera identification","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2148916415","doi":"https://doi.org/10.1109/icme.2010.5582952","mag":"2148916415"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2010.5582952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5582952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102772000","display_name":"Yongjian Hu","orcid":"https://orcid.org/0000-0002-7775-3786"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjian Hu","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100956623","display_name":"Chao Jian","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Jian","raw_affiliation_strings":["College of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075200053","display_name":"Chang\u2010Tsun Li","orcid":"https://orcid.org/0000-0003-4735-6138"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chang-Tsun Li","raw_affiliation_strings":["Department of Computer Science, University of Warwick, Coventry, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"1481","last_page":"1486"},"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":0.9717000126838684,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9715999960899353,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7691371440887451},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.733617901802063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7122237682342529},{"id":"https://openalex.org/keywords/digital-camera","display_name":"Digital camera","score":0.6612310409545898},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6359992623329163},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.6046348810195923},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.6035088300704956},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5446363091468811},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.47541648149490356},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47222307324409485},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4570051431655884},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44926732778549194},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.43564122915267944},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3304709792137146},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.2896914780139923},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19545727968215942},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07838311791419983}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7691371440887451},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.733617901802063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122237682342529},{"id":"https://openalex.org/C2779705975","wikidata":"https://www.wikidata.org/wiki/Q62927","display_name":"Digital camera","level":2,"score":0.6612310409545898},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6359992623329163},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.6046348810195923},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.6035088300704956},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5446363091468811},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.47541648149490356},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47222307324409485},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4570051431655884},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44926732778549194},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.43564122915267944},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3304709792137146},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.2896914780139923},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19545727968215942},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07838311791419983},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icme.2010.5582952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5582952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.902.8203","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.902.8203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Yongjian_Hu/publication/224176659_Using_improved_imaging_sensor_pattern_noise_for_source_camera_identification/links/09e414fea28e45b788000000.pdf?origin%3Dpublication_detail","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.907.187","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.907.187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Yongjian_Hu/publication/224176659_Using_improved_imaging_sensor_pattern_noise_for_source_camera_identification/links/09e414fea28e45b788000000.pdf","raw_type":"text"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30125098","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2096754397","https://openalex.org/W2102258637","https://openalex.org/W2108243386","https://openalex.org/W2124695272","https://openalex.org/W2128387082","https://openalex.org/W2129240197","https://openalex.org/W2139579355","https://openalex.org/W2151939419","https://openalex.org/W2162192649","https://openalex.org/W2163612361","https://openalex.org/W6679658051"],"related_works":["https://openalex.org/W2351580406","https://openalex.org/W3014822659","https://openalex.org/W4362496757","https://openalex.org/W2051501574","https://openalex.org/W2117826006","https://openalex.org/W2050967184","https://openalex.org/W2566091814","https://openalex.org/W2114937328","https://openalex.org/W2148654711","https://openalex.org/W2608025327"],"abstract_inverted_index":{"The":[0,61],"imaging":[1,20],"sensor":[2,44,72],"(e.g.,":[3],"CCD)":[4],"pattern":[5,45],"noise":[6],"is":[7,49],"a":[8,27,89],"noise-like":[9],"spread-spectrum":[10],"signal":[11],"inherently":[12],"cast":[13],"onto":[14],"every":[15],"digital":[16],"image":[17,36],"by":[18],"each":[19],"device.":[21],"It":[22],"has":[23],"been":[24,111],"recognized":[25],"as":[26],"reliable":[28],"device":[29],"fingerprint":[30,63],"for":[31],"source":[32],"camera/scanner":[33],"identification":[34],"and":[35],"origin":[37],"verification.":[38],"However,":[39],"one":[40],"weakness":[41],"of":[42,69,79,100],"current":[43],"noise-based":[46],"camera":[47,71,94,115],"fingerprints":[48,95],"that":[50],"their":[51],"construction":[52],"only":[53],"uses":[54],"information":[55,97],"from":[56,98],"single":[57,103],"color":[58,104],"channel":[59,105],"images.":[60,106],"resultant":[62],"can":[64],"not":[65],"comprehensively":[66],"reflect":[67],"characteristics":[68,78],"the":[70,77,80,101],"array.":[73],"Taking":[74],"into":[75],"account":[76],"CFA":[81],"(color":[82],"filter":[83],"array)":[84],"structure,":[85],"this":[86],"work":[87],"proposes":[88],"new":[90],"way":[91],"to":[92],"construct":[93],"using":[96],"all":[99],"three":[102],"Good":[107],"detection":[108],"results":[109],"have":[110],"achieved":[112],"on":[113],"different":[114],"models.":[116]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}