{"id":"https://openalex.org/W4226006744","doi":"https://doi.org/10.2352/ei.2022.34.4.mwsf-331","title":"NoiseSeg: An image splicing localization fusion CNN with noise extraction and error level analysis branches","display_name":"NoiseSeg: An image splicing localization fusion CNN with noise extraction and error level analysis branches","publication_year":2022,"publication_date":"2022-01-16","ids":{"openalex":"https://openalex.org/W4226006744","doi":"https://doi.org/10.2352/ei.2022.34.4.mwsf-331"},"language":"en","primary_location":{"id":"doi:10.2352/ei.2022.34.4.mwsf-331","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.4.mwsf-331","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/4/MWSF-331","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/4/MWSF-331","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065893131","display_name":"Karol Gotkowski","orcid":"https://orcid.org/0000-0003-0453-2816"},"institutions":[{"id":"https://openalex.org/I17937529","display_name":"German Cancer Research Center","ror":"https://ror.org/04cdgtt98","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I17937529"]},{"id":"https://openalex.org/I4210151100","display_name":"DKFZ-ZMBH Alliance","ror":"https://ror.org/05x8b4491","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I17937529","https://openalex.org/I223822909","https://openalex.org/I4210151100"]},{"id":"https://openalex.org/I4210133470","display_name":"Fraunhofer Institute for Secure Information Technology","ror":"https://ror.org/03qt2gs44","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210133470","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Karol Gotkowski","raw_affiliation_strings":["Fraunhofer SIT / ATHENE; Darmstadt, Germany","Deutsches Krebsforschungszentrum; Heidelberg, Germany Huajian Liu;"],"affiliations":[{"raw_affiliation_string":"Fraunhofer SIT / ATHENE; Darmstadt, Germany","institution_ids":["https://openalex.org/I4210133470"]},{"raw_affiliation_string":"Deutsches Krebsforschungszentrum; Heidelberg, Germany Huajian Liu;","institution_ids":["https://openalex.org/I4210151100","https://openalex.org/I17937529"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037163517","display_name":"Huajian Liu","orcid":"https://orcid.org/0000-0003-3470-0999"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huajian Liu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056579435","display_name":"Martin Steinebach","orcid":"https://orcid.org/0000-0002-0240-0388"},"institutions":[{"id":"https://openalex.org/I4210133470","display_name":"Fraunhofer Institute for Secure Information Technology","ror":"https://ror.org/03qt2gs44","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210133470","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I17937529","display_name":"German Cancer Research Center","ror":"https://ror.org/04cdgtt98","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I17937529"]},{"id":"https://openalex.org/I4210151100","display_name":"DKFZ-ZMBH Alliance","ror":"https://ror.org/05x8b4491","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I17937529","https://openalex.org/I223822909","https://openalex.org/I4210151100"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Steinebach","raw_affiliation_strings":["Fraunhofer SIT / ATHENE; Darmstadt, Germany","Deutsches Krebsforschungszentrum; Heidelberg, Germany Huajian Liu;"],"affiliations":[{"raw_affiliation_string":"Fraunhofer SIT / ATHENE; Darmstadt, Germany","institution_ids":["https://openalex.org/I4210133470"]},{"raw_affiliation_string":"Deutsches Krebsforschungszentrum; Heidelberg, Germany Huajian Liu;","institution_ids":["https://openalex.org/I4210151100","https://openalex.org/I17937529"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065893131"],"corresponding_institution_ids":["https://openalex.org/I17937529","https://openalex.org/I4210133470","https://openalex.org/I4210151100"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04763906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"4","first_page":"331","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9839000105857849,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9839000105857849,"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":0.9577999711036682,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9503999948501587,"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/rna-splicing","display_name":"RNA splicing","score":0.6922808885574341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6697579026222229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6484013199806213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5798537731170654},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5549218058586121},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5519501566886902},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5096433162689209},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4678319990634918},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45581215620040894},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44235795736312866},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36490553617477417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.151579350233078},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06314331293106079}],"concepts":[{"id":"https://openalex.org/C54458228","wikidata":"https://www.wikidata.org/wiki/Q237218","display_name":"RNA splicing","level":4,"score":0.6922808885574341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6697579026222229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484013199806213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5798537731170654},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5549218058586121},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5519501566886902},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5096433162689209},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4678319990634918},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45581215620040894},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44235795736312866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36490553617477417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.151579350233078},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06314331293106079},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C67705224","wikidata":"https://www.wikidata.org/wiki/Q11053","display_name":"RNA","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/ei.2022.34.4.mwsf-331","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.4.mwsf-331","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/4/MWSF-331","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/414473","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/414473","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.2352/ei.2022.34.4.mwsf-331","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.4.mwsf-331","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/4/MWSF-331","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226006744.pdf","grobid_xml":"https://content.openalex.org/works/W4226006744.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1983586459","https://openalex.org/W2071794886","https://openalex.org/W2080264113","https://openalex.org/W2087361987","https://openalex.org/W2096076665","https://openalex.org/W2097506049","https://openalex.org/W2111374353","https://openalex.org/W2169439181","https://openalex.org/W2293989420","https://openalex.org/W2508457857","https://openalex.org/W2515389788","https://openalex.org/W2541922885","https://openalex.org/W2762911267","https://openalex.org/W2802179504","https://openalex.org/W2909929587","https://openalex.org/W2948407537","https://openalex.org/W2985705680","https://openalex.org/W3027377338","https://openalex.org/W3194054536","https://openalex.org/W4295312788"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W1669643531","https://openalex.org/W2134924024","https://openalex.org/W2039154422","https://openalex.org/W2008656436","https://openalex.org/W2182382398","https://openalex.org/W2005437358","https://openalex.org/W2122581818","https://openalex.org/W2023558673","https://openalex.org/W2904927891"],"abstract_inverted_index":{"To":[0],"counter":[1],"the":[2,10,19,25,45,85,90],"ever":[3],"increasing":[4],"flood":[5],"of":[6,12,47,84,115],"image":[7,27,97],"forgeries":[8],"in":[9,15,21,40,74],"form":[11],"spliced":[13,86],"images":[14],"social":[16],"media":[17],"and":[18,35,66,95,109],"web":[20],"general,":[22],"we":[23],"propose":[24],"novel":[26],"splicing":[28,37,50,98],"localization":[29,38,83],"CNN":[30],"NoiseSeg.":[31],"NoiseSeg":[32,102],"fuses":[33],"statistical":[34],"CNN-based":[36],"methods":[39,107],"separate":[41],"branches":[42],"to":[43,79,112],"leverage":[44],"benefits":[46],"both.":[48],"Unique":[49],"anomalies":[51],"that":[52,101],"can":[53],"be":[54],"identified":[55],"by":[56],"its":[57],"coarse":[58],"noise":[59,63],"separation":[60],"branch,":[61],"fine-grained":[62],"feature":[64],"branch":[65,70],"error":[67],"level":[68],"analysis":[69],"all":[71],"get":[72],"combined":[73],"a":[75,81,113],"segmentation":[76],"fusion":[77],"head":[78],"predict":[80],"precise":[82],"regions.":[87],"Experiments":[88],"on":[89],"DSO-1,":[91],"CASIAv2,":[92],"DEFACTO,":[93],"IMD2020":[94],"WildWeb":[96],"datasets":[99],"show":[100],"outperforms":[103],"most":[104],"other":[105],"state-of-the-art":[106],"significantly":[108],"even":[110],"up":[111],"margin":[114],"46.8%.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
