{"id":"https://openalex.org/W2976141982","doi":"https://doi.org/10.2352/issn.2470-1173.2019.5.mwsf-531","title":"Dictionary Learning and Sparse Coding for Digital Image Forgery Detection","display_name":"Dictionary Learning and Sparse Coding for Digital Image Forgery Detection","publication_year":2019,"publication_date":"2019-01-09","ids":{"openalex":"https://openalex.org/W2976141982","doi":"https://doi.org/10.2352/issn.2470-1173.2019.5.mwsf-531","mag":"2976141982"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2019.5.mwsf-531","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.5.mwsf-531","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5009490082","display_name":"Mohammed Aloraini","orcid":"https://orcid.org/0000-0002-1655-8098"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Aloraini","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115593377","display_name":"Lingdao Sha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lingdao Sha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022466235","display_name":"Mehdi Sharifzadeh","orcid":"https://orcid.org/0000-0001-7786-9909"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehdi Sharifzadeh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5081723612","display_name":"Dan Schonfeld","orcid":"https://orcid.org/0000-0002-2772-4821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Schonfeld","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1133,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48621461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"31","issue":"5","first_page":"531","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9987000226974487,"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":0.9987000226974487,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9706000089645386,"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":0.9643999934196472,"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/computer-science","display_name":"Computer science","score":0.778902530670166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7567393779754639},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6045160889625549},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5890419483184814},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.538212239742279},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5333642363548279},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.49271801114082336},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4485515356063843},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4404878318309784},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4159688353538513},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4149051010608673},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3096828758716583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10124388337135315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.778902530670166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7567393779754639},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6045160889625549},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5890419483184814},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.538212239742279},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5333642363548279},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.49271801114082336},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4485515356063843},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4404878318309784},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4159688353538513},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4149051010608673},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3096828758716583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10124388337135315},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"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":"doi:10.2352/issn.2470-1173.2019.5.mwsf-531","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.5.mwsf-531","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W3004790527","https://openalex.org/W4205656132","https://openalex.org/W2998105788","https://openalex.org/W2539392819","https://openalex.org/W2111634407","https://openalex.org/W2783282829","https://openalex.org/W2579633471","https://openalex.org/W2203155458"],"abstract_inverted_index":{"Nowadays,":[0],"digital":[1,36,55,74],"images":[2],"are":[3],"used":[4],"as":[5],"critical":[6],"evidence":[7],"for":[8],"judgment,":[9],"but":[10,100],"they":[11],"can":[12],"be":[13],"forged":[14],"using":[15],"image":[16,56,75],"processing":[17],"tools":[18],"with":[19,60],"invisible":[20],"traces":[21],"and":[22,50,69,97,108],"little":[23],"effort.":[24],"Hence,":[25],"it":[26,101,122],"is":[27,102],"very":[28],"important":[29],"to":[30,53,65,78],"determine":[31,66],"the":[32,130],"authenticity":[33],"of":[34,94,136],"these":[35,90],"images.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"a":[43,124,134],"novel":[44],"approach":[45,72,86,113],"that":[46,84,127],"uses":[47,123],"dictionary":[48],"learning":[49],"sparse":[51,125],"coding":[52],"detect":[54],"forgery.":[57],"We":[58],"experimented":[59],"two":[61],"popular":[62],"data":[63],"sets":[64],"how":[67],"effectively":[68],"efficiently":[70],"our":[71,85,112],"detects":[73,114],"forgery":[76,115],"compared":[77],"previous":[79,119],"approaches.":[80],"The":[81],"results":[82],"show":[83],"not":[87],"only":[88],"outperforms":[89],"approaches":[91,120],"in":[92],"terms":[93],"Precision,":[95],"Recall,":[96],"F1":[98],"score,":[99],"also":[103],"more":[104,137],"robust":[105],"against":[106],"compression":[107],"rotation":[109],"attacks.":[110],"Also,":[111],"significantly":[116],"faster":[117],"than":[118,138],"since":[121],"representation":[126],"dramatically":[128],"reduces":[129],"feature":[131],"dimensionality":[132],"by":[133],"factor":[135],"20.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}