{"id":"https://openalex.org/W2110900225","doi":"https://doi.org/10.1186/1687-6180-2013-58","title":"Restoration of recto\u2013verso colour documents using correlated component analysis","display_name":"Restoration of recto\u2013verso colour documents using correlated component analysis","publication_year":2013,"publication_date":"2013-03-24","ids":{"openalex":"https://openalex.org/W2110900225","doi":"https://doi.org/10.1186/1687-6180-2013-58","mag":"2110900225"},"language":"en","primary_location":{"id":"doi:10.1186/1687-6180-2013-58","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-6180-2013-58","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2013-58","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2013-58","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048164151","display_name":"Anna Tonazzini","orcid":"https://orcid.org/0000-0001-6970-4725"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Anna Tonazzini","raw_affiliation_strings":["National Research Council of Italy, Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Via G. Moruzzi, 1, Pisa, Italy","National Research Council of Italy, Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"National Research Council of Italy, Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Via G. Moruzzi, 1, Pisa, Italy","institution_ids":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"National Research Council of Italy, Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Pisa, Italy","institution_ids":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108772236","display_name":"Luigi Bedini","orcid":null},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Bedini","raw_affiliation_strings":["National Research Council of Italy, Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Via G. Moruzzi, 1, Pisa, Italy","National Research Council of Italy, Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"National Research Council of Italy, Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Via G. Moruzzi, 1, Pisa, Italy","institution_ids":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"National Research Council of Italy, Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Pisa, Italy","institution_ids":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048164151"],"corresponding_institution_ids":["https://openalex.org/I122991210","https://openalex.org/I4210155236"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.6462,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.70525585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2013","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9929999709129333,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9833999872207642,"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":0.6332104802131653},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5667572617530823},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5362573862075806},{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.5168562531471252},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.4907918870449066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4886837303638458},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.4708525538444519},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.46600255370140076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.424324631690979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41855812072753906},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3668975830078125},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19891774654388428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6332104802131653},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5667572617530823},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5362573862075806},{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.5168562531471252},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.4907918870449066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4886837303638458},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.4708525538444519},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.46600255370140076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.424324631690979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41855812072753906},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3668975830078125},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19891774654388428},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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":3,"locations":[{"id":"doi:10.1186/1687-6180-2013-58","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-6180-2013-58","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2013-58","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:dnet:people______::84b1e5a02157288dbec9451f5b7e68e8","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (ONLINE)","raw_type":"Journal article"},{"id":"pmh:oai:zenodo.org:109467","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/109467","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/1687-6180-2013-58","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-6180-2013-58","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2013-58","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G3848063861","display_name":null,"funder_award_id":"2007-2013","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G5989731191","display_name":null,"funder_award_id":"POR Calabria FESR 2007-2013","funder_id":"https://openalex.org/F4320326073","funder_display_name":"Regione Calabria"}],"funders":[{"id":"https://openalex.org/F4320326073","display_name":"Regione Calabria","ror":null},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2110900225.pdf","grobid_xml":"https://content.openalex.org/works/W2110900225.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W55836907","https://openalex.org/W1493756557","https://openalex.org/W1965285802","https://openalex.org/W1978373519","https://openalex.org/W2035508962","https://openalex.org/W2038290463","https://openalex.org/W2077372877","https://openalex.org/W2088509824","https://openalex.org/W2100707293","https://openalex.org/W2133059825","https://openalex.org/W2140595684","https://openalex.org/W2146713858","https://openalex.org/W2152582833","https://openalex.org/W2167689999","https://openalex.org/W2170709565","https://openalex.org/W2546095991","https://openalex.org/W2580928452","https://openalex.org/W2952109624","https://openalex.org/W4247480362"],"related_works":["https://openalex.org/W1604939135","https://openalex.org/W2127058578","https://openalex.org/W2735368845","https://openalex.org/W2089764958","https://openalex.org/W2546477360","https://openalex.org/W2359691516","https://openalex.org/W2098040275","https://openalex.org/W2261979314","https://openalex.org/W3109905219","https://openalex.org/W1990069287"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"consider":[4],"the":[5,47,51,55,66,72,82,88,110,115,120,134,147],"problem":[6,56],"of":[7,13,30,44,50,59,71,103,119,138],"removing":[8],"see-through":[9,24],"interferences":[10],"from":[11,46],"pairs":[12],"recto\u2013verso":[14],"documents":[15,34],"acquired":[16],"either":[17],"in":[18,65],"grayscale":[19],"or":[20,35,42,96],"RGB":[21],"modality.":[22],"The":[23],"effect":[25],"is":[26,38],"a":[27,76,94],"typical":[28],"degradation":[29],"historical":[31],"and":[32,37,68,114,143],"archival":[33],"manuscripts,":[36],"caused":[39],"by":[40],"transparency":[41],"seeping":[43],"ink":[45],"reverse":[48],"side":[49],"page.":[52],"We":[53,99,124],"formulate":[54],"as":[57],"one":[58],"separating":[60],"two":[61,121,148],"individual":[62],"texts,":[63],"overlapped":[64],"recto":[67],"verso":[69],"maps":[70],"colour":[73,144],"channels":[74],"through":[75],"linear":[77],"convolutional":[78],"mixing":[79,83],"operator,":[80],"where":[81],"coefficients":[84],"are":[85,91,150],"unknown,":[86],"while":[87],"blur":[89],"kernels":[90],"assumed":[92],"known":[93],"priori":[95],"estimated":[97],"off-line.":[98],"exploit":[100],"statistical":[101],"techniques":[102,132,142],"blind":[104],"source":[105],"separation":[106],"to":[107],"estimate":[108],"both":[109],"unknown":[111],"model":[112],"parameters":[113],"ideal,":[116],"uncorrupted":[117],"images":[118],"document":[122],"sides.":[123],"show":[125],"that":[126],"recently":[127],"proposed":[128],"correlated":[129],"component":[130,140],"analysis":[131,141],"overcome":[133],"already":[135],"satisfactory":[136],"performance":[137],"independent":[139],"decorrelation,":[145],"when":[146],"texts":[149],"even":[151],"sensibly":[152],"correlated.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
