{"id":"https://openalex.org/W2413733684","doi":null,"title":"Statistical and geometric methods for passive-blind image forensics","display_name":"Statistical and geometric methods for passive-blind image forensics","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2413733684","mag":"2413733684"},"language":"en","primary_location":{"id":"mag:2413733684","doi":null,"is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?id=1354350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5037340457","display_name":"Shih\u2010Fu Chang","orcid":"https://orcid.org/0000-0003-1444-1205","observed_orcids":["https://orcid.org/0000-0003-1444-1205"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shih\u2010Fu Chang","raw_affiliation_strings":["Columbia University"],"raw_orcid":"https://orcid.org/0000-0003-1444-1205","affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002069408","display_name":"Tian-Tsong Ng","orcid":"https://orcid.org/0000-0002-6713-2310","observed_orcids":["https://orcid.org/0000-0002-6713-2310"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian-Tsong Ng","raw_affiliation_strings":["Columbia University"],"raw_orcid":"https://orcid.org/0000-0002-6713-2310","affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.7589,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77651893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9990000128746033,"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":0.9990000128746033,"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":0.00019999999494757503,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.00019999999494757503,"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/image-authenticity","display_name":"image authenticity","score":0.8389999866485596},{"id":"https://openalex.org/keywords/image-splicing-detection","display_name":"image splicing detection","score":0.9100000262260437},{"id":"https://openalex.org/keywords/bicoherence","display_name":"bicoherence","score":0.8610000014305115},{"id":"https://openalex.org/keywords/quadratic-phase-coupling","display_name":"quadratic phase coupling","score":0.8450000286102295},{"id":"https://openalex.org/keywords/geometric-invariants","display_name":"geometric invariants","score":0.7360000014305115},{"id":"https://openalex.org/keywords/surface-reflectance","display_name":"surface reflectance","score":0.7450000047683716},{"id":"https://openalex.org/keywords/image-forgery-detection","display_name":"image forgery detection","score":0.5950000286102295}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7491666078567505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.738839328289032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334888339042664},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.5376424193382263},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5198536515235901},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.446365088224411},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.44592559337615967},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38495999574661255},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35573095083236694},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35326892137527466},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32680243253707886},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2413733684","doi":null,"is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?id=1354350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W115399891","https://openalex.org/W120119343","https://openalex.org/W183843560","https://openalex.org/W199051323","https://openalex.org/W200526583","https://openalex.org/W981062598","https://openalex.org/W1488881187","https://openalex.org/W1515615411","https://openalex.org/W1528423721","https://openalex.org/W1534477342","https://openalex.org/W1544446329","https://openalex.org/W1557324374","https://openalex.org/W1566141959","https://openalex.org/W1572919062","https://openalex.org/W1592225080","https://openalex.org/W1728778629","https://openalex.org/W1799922503","https://openalex.org/W1864613704","https://openalex.org/W1904969684","https://openalex.org/W1954363486","https://openalex.org/W1970080734","https://openalex.org/W1978907181","https://openalex.org/W1979830481","https://openalex.org/W1993266573","https://openalex.org/W1999360130","https://openalex.org/W2006028575","https://openalex.org/W2012889512","https://openalex.org/W2014901406","https://openalex.org/W2034693484","https://openalex.org/W2040053317","https://openalex.org/W2045104398","https://openalex.org/W2050530804","https://openalex.org/W2050678453","https://openalex.org/W2057612871","https://openalex.org/W2062503914","https://openalex.org/W2067132795","https://openalex.org/W2069281566","https://openalex.org/W2078206416","https://openalex.org/W2080403050","https://openalex.org/W2081698350","https://openalex.org/W2084227286","https://openalex.org/W2092015335","https://openalex.org/W2096099694","https://openalex.org/W2097537693","https://openalex.org/W2098745184","https://openalex.org/W2099013489","https://openalex.org/W2099111195","https://openalex.org/W2103559027","https://openalex.org/W2104116677","https://openalex.org/W2104404402","https://openalex.org/W2105064805","https://openalex.org/W2109943925","https://openalex.org/W2110598603","https://openalex.org/W2113267006","https://openalex.org/W2115247187","https://openalex.org/W2115905033","https://openalex.org/W2120023453","https://openalex.org/W2120113491","https://openalex.org/W2124323393","https://openalex.org/W2124545674","https://openalex.org/W2124931816","https://openalex.org/W2125313965","https://openalex.org/W2127424286","https://openalex.org/W2130602271","https://openalex.org/W2130700878","https://openalex.org/W2132817297","https://openalex.org/W2133934946","https://openalex.org/W2135293965","https://openalex.org/W2139616920","https://openalex.org/W2148176610","https://openalex.org/W2149760002","https://openalex.org/W2151825689","https://openalex.org/W2153699906","https://openalex.org/W2156015172","https://openalex.org/W2156598602","https://openalex.org/W2158162781","https://openalex.org/W2162172997","https://openalex.org/W2162870748","https://openalex.org/W2165736859","https://openalex.org/W2166554499","https://openalex.org/W2167034998","https://openalex.org/W2171930348","https://openalex.org/W2188708174","https://openalex.org/W2295936755","https://openalex.org/W2585809691","https://openalex.org/W2595741664","https://openalex.org/W2797816625","https://openalex.org/W3142024233","https://openalex.org/W3158874234","https://openalex.org/W4246954948"],"related_works":["https://openalex.org/W7098499721","https://openalex.org/W2126419727","https://openalex.org/W2383290245","https://openalex.org/W2360177906","https://openalex.org/W1515916247","https://openalex.org/W2312720882","https://openalex.org/W1969419274","https://openalex.org/W2163773153","https://openalex.org/W2728384949","https://openalex.org/W2289160910"],"abstract_inverted_index":{"Passive-blind":[0],"image":[1,10,28,33,42,57,89,112,121,142],"forensics":[2],"(PBIF)":[3],"refers":[4],"to":[5,120,137],"passive":[6],"ways":[7],"for":[8,22,54,97,158,231],"evaluating":[9],"authenticity":[11,29,58],"and":[12,40,50,60,78,170,207,246],"detecting":[13,68],"fake":[14],"images.":[15],"This":[16],"dissertation":[17],"proposes":[18],"a":[19,85,94,108,155,224,235,249],"physics-based":[20],"approach":[21],"PBIF,":[23,66],"with":[24],"our":[25],"definition":[26],"of":[27,103,111,141,162,199,243],"derived":[30,210],"from":[31,74,84,149,189,211,234],"the":[32,37,41,56,99,117,125,139,160,163,166,171,196,203,208,217,244],"generative":[34],"process":[35],"comprising":[36],"3D":[38],"scene":[39],"acquisition":[43],"device.":[44],"We":[45,238],"propose":[46,133,154,223,248],"one":[47],"statistical":[48,95],"method":[49,96,157,226,245],"two":[51,197],"geometric":[52,156,225,229],"methods":[53],"capturing":[55,98,159],"properties":[59,161],"addressing":[61],"three":[62],"separate":[63],"problems":[64],"in":[65],"i.e.,":[67],"spliced":[69],"images,":[70],"distinguishing":[71,146],"photographic":[72,147,185],"images":[73,148,186,200],"photorealistic":[75,150,190],"computer":[76,151,191,214],"graphics,":[77,152,192],"estimating":[79,232],"camera":[80],"response":[81,119],"function":[82],"(CRF)":[83],"single":[86],"image.":[87,237],"For":[88,145,216],"splicing":[90,122,143],"detection,":[91],"we":[92,114,132,153,222],"show":[93],"optical":[100],"low-pass":[101],"property":[102],"cameras.":[104],"Through":[105],"analysis":[106,242],"on":[107,183,219,228],"proposed":[109],"model":[110],"splicing,":[113],"can":[115],"explain":[116],"bicoherence":[118],"better":[123,201],"than":[124,202],"conventional":[126],"quadratic":[127],"phase":[128],"coupling":[129],"theory.":[130],"Furthermore,":[131],"incorporating":[134],"image-content-related":[135],"features":[136,209],"improve":[138],"performance":[140],"detection.":[144],"object":[164,167],"geometry,":[165],"surface":[168],"reflectance,":[169],"CRF.":[172],"The":[173],"resulting":[174],"geometry":[175],"feature":[176,206],"not":[177],"only":[178],"provides":[179],"an":[180,240],"intuitive":[181],"understanding":[182],"how":[184],"are":[187],"different":[188],"it":[193],"also":[194,247],"classifies":[195],"types":[198],"wavelet":[204],"characteristic":[205],"modeling":[212],"general":[213],"graphics.":[215],"work":[218],"CRF":[220,233,253],"estimation,":[221],"based":[227],"invariants":[230],"single-color-channel":[236],"provide":[239],"extensive":[241],"generalized":[250],"gamma":[251],"curve":[252],"model.":[254]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}