{"id":"https://openalex.org/W2915899451","doi":"https://doi.org/10.4018/ijdcf.2019040101","title":"Digital Image Forensics Based on CFA Interpolation Feature and Gaussian Mixture Model","display_name":"Digital Image Forensics Based on CFA Interpolation Feature and Gaussian Mixture Model","publication_year":2019,"publication_date":"2019-02-22","ids":{"openalex":"https://openalex.org/W2915899451","doi":"https://doi.org/10.4018/ijdcf.2019040101","mag":"2915899451"},"language":"en","primary_location":{"id":"doi:10.4018/ijdcf.2019040101","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijdcf.2019040101","pdf_url":null,"source":{"id":"https://openalex.org/S8943243","display_name":"International Journal of Digital Crime and Forensics","issn_l":"1941-6210","issn":["1941-6210","1941-6229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Crime and Forensics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.4018/ijdcf.2019040101","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100382944","display_name":"Xinyi Wang","orcid":"https://orcid.org/0000-0002-4793-2994"},"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":"Xinyi Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","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":false,"raw_author_name":"Shaozhang Niu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100353051","display_name":"Jiwei Zhang","orcid":"https://orcid.org/0000-0002-8910-2382"},"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":false,"raw_author_name":"Jiwei Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8910-2382","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100382944"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.2042,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51603191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"11","issue":"2","first_page":"1","last_page":"12"},"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/T13877","display_name":"Law in Society and Culture","score":0.9628999829292297,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9469000101089478,"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/demosaicing","display_name":"Demosaicing","score":0.855554461479187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7719507813453674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7447800040245056},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6788095235824585},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6738563776016235},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6704150438308716},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.6437574028968811},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5671908855438232},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4938724637031555},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.491266667842865},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.46549972891807556},{"id":"https://openalex.org/keywords/color-filter-array","display_name":"Color filter array","score":0.44316476583480835},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.2443903088569641},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22454574704170227},{"id":"https://openalex.org/keywords/color-gel","display_name":"Color gel","score":0.15319931507110596}],"concepts":[{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.855554461479187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7719507813453674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7447800040245056},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6788095235824585},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6738563776016235},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6704150438308716},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.6437574028968811},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5671908855438232},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4938724637031555},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.491266667842865},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.46549972891807556},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.44316476583480835},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.2443903088569641},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22454574704170227},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.15319931507110596},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C87359718","wikidata":"https://www.wikidata.org/wiki/Q1271916","display_name":"Thin-film transistor","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijdcf.2019040101","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijdcf.2019040101","pdf_url":null,"source":{"id":"https://openalex.org/S8943243","display_name":"International Journal of Digital Crime and Forensics","issn_l":"1941-6210","issn":["1941-6210","1941-6229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Crime and Forensics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.4018/ijdcf.2019040101","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijdcf.2019040101","pdf_url":null,"source":{"id":"https://openalex.org/S8943243","display_name":"International Journal of Digital Crime and Forensics","issn_l":"1941-6210","issn":["1941-6210","1941-6229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Crime and Forensics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1955437626","https://openalex.org/W1981367467","https://openalex.org/W1987535593","https://openalex.org/W2071157526","https://openalex.org/W2071794886","https://openalex.org/W2104116677","https://openalex.org/W2106111212","https://openalex.org/W2107461197","https://openalex.org/W2148255984","https://openalex.org/W2162192649","https://openalex.org/W2296394464","https://openalex.org/W2299470528","https://openalex.org/W2586101046"],"related_works":["https://openalex.org/W2197110145","https://openalex.org/W2187346426","https://openalex.org/W1884483970","https://openalex.org/W1990681604","https://openalex.org/W2581562246","https://openalex.org/W2963400025","https://openalex.org/W2137355623","https://openalex.org/W1974484650","https://openalex.org/W1527396660","https://openalex.org/W2021517349"],"abstract_inverted_index":{"According":[0],"to":[1,51,75],"the":[2,5,32,35,48,58,63,66,79,88,95,108,113],"characteristics":[3],"of":[4,65],"color":[6,41],"filter":[7,42],"array":[8],"interpolation":[9,22],"in":[10],"a":[11,40,52],"camera,":[12],"an":[13],"image":[14,36,59,71,80],"splicing":[15,96],"forgery":[16],"detection":[17,114],"algorithm":[18],"based":[19,61],"on":[20,62],"bi-cubic":[21],"and":[23,44,69,77,93,111],"Gaussian":[24],"mixture":[25],"model":[26],"is":[27,37],"proposed.":[28],"The":[29,83],"authors":[30],"make":[31],"assumption":[33],"that":[34,45,87],"acquired":[38],"using":[39],"array,":[43],"tampering":[46,97],"removes":[47],"artifacts":[49],"due":[50],"demosaicing":[53],"algorithm.":[54],"This":[55],"article":[56],"extracts":[57],"features":[60],"variance":[64],"prediction":[67,109],"error":[68,110],"create":[70],"feature":[72],"likelihood":[73],"map":[74],"detect":[76,92],"locate":[78,94],"tampered":[81],"areas.":[82],"experimental":[84],"results":[85],"show":[86],"proposed":[89],"method":[90,105],"can":[91,106],"areas":[98],"precisely.":[99],"Compared":[100],"with":[101],"bi-linear":[102],"interpolation,":[103],"this":[104],"reduce":[107],"improve":[112],"accuracy.":[115]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}