{"id":"https://openalex.org/W2100156281","doi":"https://doi.org/10.1109/icip.2007.4378975","title":"Tamper Detection Based on Regularity of Wavelet Transform Coefficients","display_name":"Tamper Detection Based on Regularity of Wavelet Transform Coefficients","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2100156281","doi":"https://doi.org/10.1109/icip.2007.4378975","mag":"2100156281"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4378975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4378975","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060018753","display_name":"Yagiz Sutcu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108259","display_name":"Polymer Research Institute","ror":"https://ror.org/01qj7t912","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210108259"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Y. Sutcu","raw_affiliation_strings":["Electrical & Computer Engineering Department, Polytechnic University, Brooklyn, NY, USA","Polytech. univ., Brooklyn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Department, Polytechnic University, Brooklyn, NY, USA","institution_ids":[]},{"raw_affiliation_string":"Polytech. univ., Brooklyn","institution_ids":["https://openalex.org/I4210108259"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103040305","display_name":"B. Coskun","orcid":"https://orcid.org/0000-0002-7299-6455"},"institutions":[{"id":"https://openalex.org/I4210108259","display_name":"Polymer Research Institute","ror":"https://ror.org/01qj7t912","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210108259"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"B. Coskun","raw_affiliation_strings":["Electrical & Computer Engineering Department, Polytechnic University, Brooklyn, NY, USA","Polytech. univ., Brooklyn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Department, Polytechnic University, Brooklyn, NY, USA","institution_ids":[]},{"raw_affiliation_string":"Polytech. univ., Brooklyn","institution_ids":["https://openalex.org/I4210108259"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086101517","display_name":"H\u00fcsrev Taha Sencar","orcid":"https://orcid.org/0000-0001-6910-6194"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H.T. Sencar","raw_affiliation_strings":["Computer & Information Science Department, Polytechnic University, Brooklyn, NY, USA","Polytechnic University, Computer & Information Science Dept., Brooklyn, NY, 11201, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer & Information Science Department, Polytechnic University, Brooklyn, NY, USA","institution_ids":[]},{"raw_affiliation_string":"Polytechnic University, Computer & Information Science Dept., Brooklyn, NY, 11201, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006172625","display_name":"Nasir Memon","orcid":"https://orcid.org/0000-0002-0103-9762"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Memon","raw_affiliation_strings":["Computer & Information Science Department, Polytechnic University, Brooklyn, NY, USA","Polytechnic University, Computer & Information Science Dept., Brooklyn, NY, 11201, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer & Information Science Department, Polytechnic University, Brooklyn, NY, USA","institution_ids":[]},{"raw_affiliation_string":"Polytechnic University, Computer & Information Science Dept., Brooklyn, NY, 11201, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"I ","last_page":" 397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9950000047683716,"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":0.9879000186920166,"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","display_name":"Image (mathematics)","score":0.6530132293701172},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.620549738407135},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6047885417938232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6024463176727295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5158430933952332},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.5125563144683838},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.45802152156829834},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.43868163228034973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3880211412906647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36012744903564453},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2634722590446472}],"concepts":[{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6530132293701172},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.620549738407135},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6047885417938232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6024463176727295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5158430933952332},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.5125563144683838},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.45802152156829834},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.43868163228034973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3880211412906647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36012744903564453},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2634722590446472}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2007.4378975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4378975","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.186.5254","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.5254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://isis.poly.edu/%7Ebaris/papers/conference/edge_regularity_ICIP07.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.88.2183","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.2183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://isis.poly.edu/~forensics/pubs/icip2007a.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W120119343","https://openalex.org/W1594538873","https://openalex.org/W1788576983","https://openalex.org/W1935943493","https://openalex.org/W1986680430","https://openalex.org/W2006028575","https://openalex.org/W2007940896","https://openalex.org/W2062024414","https://openalex.org/W2081698350","https://openalex.org/W2084641094","https://openalex.org/W2105064805","https://openalex.org/W2109376948","https://openalex.org/W2121543435","https://openalex.org/W2135341755","https://openalex.org/W2138068359","https://openalex.org/W2146482978","https://openalex.org/W2155180118","https://openalex.org/W2168573702","https://openalex.org/W2582238442","https://openalex.org/W3144269773","https://openalex.org/W4255023712","https://openalex.org/W4255272544","https://openalex.org/W6604906609","https://openalex.org/W6635502213","https://openalex.org/W6647191328","https://openalex.org/W6727730625"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2077021924","https://openalex.org/W2392126150","https://openalex.org/W1485522661","https://openalex.org/W2059612479","https://openalex.org/W2393687301","https://openalex.org/W2371775810","https://openalex.org/W2374508065"],"abstract_inverted_index":{"Powerful":[0],"digital":[1,22,54],"media":[2,23],"editing":[3],"tools":[4],"make":[5],"producing":[6],"good":[7],"quality":[8],"forgeries":[9],"very":[10],"easy":[11],"for":[12],"almost":[13],"anyone.":[14],"Therefore,":[15],"proving":[16],"the":[17,49,66,77,81,95,105,118,130],"authenticity":[18],"and":[19],"integrity":[20],"of":[21,60,65,80,85,89,98,107,129],"becomes":[24],"increasingly":[25],"important.":[26],"In":[27],"this":[28],"work,":[29],"we":[30],"propose":[31],"a":[32,53,57],"simple":[33],"method":[34,84],"to":[35,71,76,125],"detect":[36],"image":[37,55,91],"tampering":[38],"operations":[39],"that":[40,51,117],"involve":[41],"sharpness/blurriness":[42,63,87,120],"adjustment.":[43],"Our":[44,113],"approach":[45],"is":[46,69,92],"based":[47,93],"on":[48,94],"assumption":[50],"if":[52],"undergoes":[56],"copy-paste":[58],"type":[59],"forgery,":[61],"average":[62],"value":[64,88],"forged":[67],"region":[68],"expected":[70],"be":[72,123],"different":[73],"as":[74],"compared":[75],"non-tampered":[78],"parts":[79],"image.":[82,131],"The":[83],"estimating":[86],"an":[90],"regularity":[96],"properties":[97],"wavelet":[99,108],"transform":[100,109],"coefficients":[101,110],"which":[102],"involves":[103],"measuring":[104],"decay":[106],"across":[111],"scales.":[112],"preliminary":[114],"results":[115],"show":[116],"estimated":[119],"scores":[121],"can":[122],"used":[124],"identify":[126],"tampered":[127],"areas":[128]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}