{"id":"https://openalex.org/W1520114522","doi":"https://doi.org/10.1117/12.2197146","title":"Detecting of copy-move forgery in digital images using fractional Fourier transform","display_name":"Detecting of copy-move forgery in digital images using fractional Fourier transform","publication_year":2015,"publication_date":"2015-07-06","ids":{"openalex":"https://openalex.org/W1520114522","doi":"https://doi.org/10.1117/12.2197146","mag":"1520114522"},"language":"en","primary_location":{"id":"doi:10.1117/12.2197146","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2197146","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5070451997","display_name":"Renqing Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Renqing Yang","raw_affiliation_strings":["Yunnan Univ. (China)","Yunnan University (China)"],"affiliations":[{"raw_affiliation_string":"Yunnan Univ. (China)","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Yunnan University (China)","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034697338","display_name":"Zhengyao Bai","orcid":"https://orcid.org/0000-0001-5350-629X"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyao Bai","raw_affiliation_strings":["Yunnan Univ. (China)","Yunnan University (China)"],"affiliations":[{"raw_affiliation_string":"Yunnan Univ. (China)","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Yunnan University (China)","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021973200","display_name":"Liguo Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liguo Yin","raw_affiliation_strings":["Yunnan Univ. (China)","Yunnan University (China)"],"affiliations":[{"raw_affiliation_string":"Yunnan Univ. (China)","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Yunnan University (China)","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006882719","display_name":"Hao Gao","orcid":"https://orcid.org/0000-0002-8563-0479"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Gao","raw_affiliation_strings":["Yunnan Univ. (China)","Yunnan University (China)"],"affiliations":[{"raw_affiliation_string":"Yunnan Univ. (China)","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Yunnan University (China)","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070451997"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54769602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9631","issue":null,"first_page":"96310B","last_page":"96310B"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9968000054359436,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9419999718666077,"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/feature","display_name":"Feature (linguistics)","score":0.6607707738876343},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.637703537940979},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.5979841351509094},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5572575926780701},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5487072467803955},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5149422287940979},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5094380974769592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4821905195713043},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4665766656398773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.466480553150177},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.46456706523895264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43322306871414185},{"id":"https://openalex.org/keywords/lexicographical-order","display_name":"Lexicographical order","score":0.4242759346961975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4237600564956665},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4149046540260315},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3760049343109131},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.25825345516204834},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14283820986747742},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06734547019004822}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6607707738876343},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.637703537940979},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.5979841351509094},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5572575926780701},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5487072467803955},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5149422287940979},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5094380974769592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4821905195713043},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4665766656398773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.466480553150177},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.46456706523895264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43322306871414185},{"id":"https://openalex.org/C159254197","wikidata":"https://www.wikidata.org/wiki/Q1144915","display_name":"Lexicographical order","level":2,"score":0.4242759346961975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4237600564956665},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4149046540260315},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3760049343109131},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.25825345516204834},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14283820986747742},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06734547019004822},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2197146","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2197146","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W120119343","https://openalex.org/W1546079958","https://openalex.org/W1554624397","https://openalex.org/W1566737483","https://openalex.org/W1637308471","https://openalex.org/W1973208503","https://openalex.org/W2074617333","https://openalex.org/W2127769464","https://openalex.org/W2146649199","https://openalex.org/W2153361333","https://openalex.org/W2539473980","https://openalex.org/W3158874234","https://openalex.org/W6604906609","https://openalex.org/W6636843340","https://openalex.org/W6681654479","https://openalex.org/W6682583540","https://openalex.org/W6794803706"],"related_works":["https://openalex.org/W2150576912","https://openalex.org/W2108727544","https://openalex.org/W2118155316","https://openalex.org/W2382218334","https://openalex.org/W2090697566","https://openalex.org/W2116983948","https://openalex.org/W2112053570","https://openalex.org/W2155549970","https://openalex.org/W3141389362","https://openalex.org/W2057875231"],"abstract_inverted_index":{"Copy-move":[0],"forgery":[1,38,138],"is":[2,19,45,58,69,84,92,109,131],"one":[3],"of":[4,16,26,54,74,81,89,105,135],"the":[5,27,48,55,64,67,87,90,103,115,120,128,136],"most":[6],"simple":[7],"and":[8,21,86,111],"commonly":[9],"used":[10],"forging":[11],"methods,":[12],"where":[13,40],"a":[14,33],"part":[15,25],"image":[17,57],"itself":[18],"copied":[20],"pasted":[22],"on":[23],"another":[24],"same":[28,121],"image.":[29],"This":[30],"paper":[31],"presents":[32],"new":[34],"approach":[35],"for":[36],"copy-move":[37,137],"detection":[39,134],"fractional":[41,78],"Fourier":[42,79],"transform":[43,52,80],"(FRFT)":[44],"used.":[46],"First,":[47],"1-level":[49],"discrete":[50],"wavelet":[51],"(DWT)":[53],"forged":[56],"to":[59,113],"reduce":[60],"its":[61],"dimension.":[62],"Next,":[63],"low":[65],"frequency":[66],"sub-band":[68],"divided":[70],"into":[71],"overlapped":[72],"blocks":[73],"equal":[75],"size.":[76],"The":[77],"each":[82],"block":[83],"calculated":[85],"vector":[88],"coefficients":[91],"constructed.":[93],"All":[94],"feature":[95,107,122],"vectors":[96,108],"are":[97],"sorted":[98],"using":[99],"lexicographical":[100],"order.":[101],"Finally,":[102],"difference":[104],"adjacent":[106],"evaluated":[110],"employed":[112],"locate":[114],"duplicated":[116],"regions":[117],"which":[118],"have":[119],"vectors.":[123],"Experimental":[124],"results":[125],"show":[126],"that":[127],"proposed":[129],"method":[130],"effective":[132],"in":[133],"regions.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}