{"id":"https://openalex.org/W3048298512","doi":"https://doi.org/10.1109/newcas49341.2020.9159761","title":"Detecting tampered regions in JPEG images via CNN","display_name":"Detecting tampered regions in JPEG images via CNN","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3048298512","doi":"https://doi.org/10.1109/newcas49341.2020.9159761","mag":"3048298512"},"language":"en","primary_location":{"id":"doi:10.1109/newcas49341.2020.9159761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas49341.2020.9159761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)","raw_type":"proceedings-article"},"type":"article","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/A5037648923","display_name":"Kunihiko Taya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125705","display_name":"Kyoto Prefectural Police","ror":"https://ror.org/02zsmpq40","country_code":"JP","type":"government","lineage":["https://openalex.org/I4210125705"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunihiko Taya","raw_affiliation_strings":["Forensic Science Lab, Kyoto Prefectural Police H.Q, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Forensic Science Lab, Kyoto Prefectural Police H.Q, Kyoto, Japan","institution_ids":["https://openalex.org/I4210125705"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089221161","display_name":"Nobutaka Kuroki","orcid":"https://orcid.org/0000-0002-8288-0747"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobutaka Kuroki","raw_affiliation_strings":["Graduate School of Engineering, Kobe University, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089252403","display_name":"Naoto Takeda","orcid":"https://orcid.org/0000-0002-2119-4778"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naoto Takeda","raw_affiliation_strings":["FUSO PRECISION, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FUSO PRECISION, Kyoto, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101737932","display_name":"Tetsuya Hirose","orcid":"https://orcid.org/0000-0003-1997-5097"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Hirose","raw_affiliation_strings":["Graduate School of Engineering, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070530869","display_name":"Masahiro Numa","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Numa","raw_affiliation_strings":["Graduate School of Engineering, Kobe University, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4895,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66071488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"202","last_page":"205"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9945999979972839,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8074321746826172},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7778415679931641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.773658037185669},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7494165301322937},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6076513528823853},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6042527556419373},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5697137713432312},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49211472272872925},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4868995249271393},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.48433220386505127},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.4128493666648865},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26286789774894714}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8074321746826172},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7778415679931641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.773658037185669},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7494165301322937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6076513528823853},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6042527556419373},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5697137713432312},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49211472272872925},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4868995249271393},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.48433220386505127},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.4128493666648865},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26286789774894714}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/newcas49341.2020.9159761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas49341.2020.9159761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2081698350","https://openalex.org/W2105953199","https://openalex.org/W2148610715","https://openalex.org/W2151496117","https://openalex.org/W2162192649","https://openalex.org/W2170835289","https://openalex.org/W2608546449"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W1597187555","https://openalex.org/W2614249221","https://openalex.org/W2997133669","https://openalex.org/W2108294500","https://openalex.org/W1975188435","https://openalex.org/W1990754123","https://openalex.org/W1830945637","https://openalex.org/W4313427965","https://openalex.org/W2117577511"],"abstract_inverted_index":{"Often,":[0],"digital":[1],"pictures":[2],"are":[3,53,72],"used":[4],"as":[5],"evidence":[6],"in":[7,36,65,104],"criminal":[8],"investigations.":[9],"Therefore,":[10],"it":[11],"is":[12,60,110],"essential":[13],"to":[14,55],"check":[15],"whether":[16],"they":[17],"have":[18],"been":[19],"tampered":[20,34,68],"with":[21,92],"or":[22],"not.":[23],"In":[24,47,80],"this":[25],"study,":[26],"we":[27],"propose":[28],"a":[29,37,42,61,124],"method":[30],"for":[31],"detecting":[32],"the":[33,48,56,67,99,107],"region":[35],"JPEG":[38],"image":[39,64],"by":[40],"using":[41,74,116],"convolutional":[43],"neural":[44],"network":[45],"(CNN).":[46],"proposed":[49],"method,":[50,119],"DCT":[51],"coefficients":[52],"input":[54],"CNN.":[57],"The":[58,95],"output":[59],"binary":[62],"segmented":[63],"which":[66,109,120],"and":[69,76,90],"non-tampered":[70],"regions":[71],"represented":[73],"white":[75],"black":[77],"pixels,":[78],"respectively.":[79],"our":[81,117],"experiment,":[82],"45":[83],"types":[84],"of":[85,98,106],"CNN":[86],"models":[87],"were":[88],"created":[89],"compared":[91],"one":[93],"another.":[94],"detection":[96],"accuracy":[97],"best":[100],"model":[101],"was":[102,121],"0.63":[103],"terms":[105],"F-measure,":[108],"approximately":[111],"2.3":[112],"times":[113],"that":[114],"achieved":[115],"preliminary":[118],"based":[122],"on":[123],"support":[125],"vector":[126],"machine.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
