{"id":"https://openalex.org/W2164990255","doi":"https://doi.org/10.1109/icassp.2011.5946978","title":"Improved DCT coefficient analysis for forgery localization in JPEG images","display_name":"Improved DCT coefficient analysis for forgery localization in JPEG images","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2164990255","doi":"https://doi.org/10.1109/icassp.2011.5946978","mag":"2164990255"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5054395599","display_name":"Tiziano Bianchi","orcid":"https://orcid.org/0000-0002-3965-3522"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Tiziano Bianchi","raw_affiliation_strings":["Dipartimento di Elettronica e Telecomuni, Universit\u00e0 di Firenze, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Telecomuni, Universit\u00e0 di Firenze, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031645268","display_name":"Alessia De Rosa","orcid":null},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessia De Rosa","raw_affiliation_strings":["Dipartimento di Elettronica e Telecomuni, Universit\u00e0 di Firenze, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Telecomuni, Universit\u00e0 di Firenze, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007423585","display_name":"Alessandro Piva","orcid":"https://orcid.org/0000-0002-3047-0519"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Piva","raw_affiliation_strings":["Dipartimento di Elettronica e Telecomuni, Universit\u00e0 di Firenze, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Telecomuni, Universit\u00e0 di Firenze, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054395599"],"corresponding_institution_ids":["https://openalex.org/I45084792"],"apc_list":null,"apc_paid":null,"fwci":8.8867,"has_fulltext":false,"cited_by_count":178,"citation_normalized_percentile":{"value":0.98363292,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2444","last_page":"2447"},"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":0.97079998254776,"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":0.9498999714851379,"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/jpeg","display_name":"JPEG","score":0.8882741928100586},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8544061183929443},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7735577821731567},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.6477222442626953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6329934000968933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.593941867351532},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5154977440834045},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.48068246245384216},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46752193570137024},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.4609561264514923},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41786086559295654},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.41447269916534424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3465091288089752},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33961135149002075},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.29917317628860474},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2678903043270111},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23939639329910278}],"concepts":[{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.8882741928100586},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8544061183929443},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7735577821731567},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.6477222442626953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6329934000968933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.593941867351532},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5154977440834045},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.48068246245384216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46752193570137024},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.4609561264514923},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41786086559295654},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.41447269916534424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3465091288089752},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33961135149002075},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.29917317628860474},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2678903043270111},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23939639329910278},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2011.5946978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:flore.unifi.it:2158/597613","is_oa":false,"landing_page_url":"http://hdl.handle.net/2158/597613","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"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":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:porto.polito.it:2505907","is_oa":false,"landing_page_url":"http://porto.polito.it/2505907/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN:1520-6149","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W200526583","https://openalex.org/W1985729543","https://openalex.org/W2071018220","https://openalex.org/W2123889042","https://openalex.org/W2130225759","https://openalex.org/W2155319953","https://openalex.org/W6608096262"],"related_works":["https://openalex.org/W3173684497","https://openalex.org/W3190486427","https://openalex.org/W1830945637","https://openalex.org/W4313377945","https://openalex.org/W2111280862","https://openalex.org/W2545896937","https://openalex.org/W2144728054","https://openalex.org/W1993513347","https://openalex.org/W3009281452","https://openalex.org/W2159284032"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,50,83],"statistical":[6],"test":[7],"to":[8,75,89],"discriminate":[9],"between":[10],"original":[11],"and":[12,42],"forged":[13,77],"regions":[14,45],"in":[15,59],"JPEG":[16],"images,":[17],"under":[18],"the":[19,22,28,37,55,60,69],"hypothesis":[20],"that":[21],"former":[23],"are":[24,30,46],"doubly":[25,43],"compressed":[26,44],"while":[27],"latter":[29],"singly":[31,41],"compressed.":[32],"New":[33],"probability":[34,70],"models":[35],"for":[36,53,71],"DCT":[38,73],"coefficients":[39],"of":[40,62],"proposed,":[47],"together":[48],"with":[49,87],"reliable":[51],"method":[52],"estimating":[54],"primary":[56],"quantization":[57],"factor":[58],"case":[61],"double":[63],"compression.":[64],"Based":[65],"on":[66],"such":[67],"models,":[68],"each":[72],"block":[74],"be":[76],"is":[78],"derived.":[79],"Experimental":[80],"results":[81],"demonstrate":[82],"better":[84],"discriminating":[85],"behavior":[86],"respect":[88],"previously":[90],"proposed":[91],"methods.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":17},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}