{"id":"https://openalex.org/W2212082934","doi":"https://doi.org/10.1109/eusipco.2015.7362801","title":"An adaptive perception-based image preprocessing method","display_name":"An adaptive perception-based image preprocessing method","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2212082934","doi":"https://doi.org/10.1109/eusipco.2015.7362801","mag":"2212082934"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11573/847935","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001558556","display_name":"Vittoria Bruni","orcid":"https://orcid.org/0000-0003-3909-7463"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"V. Bruni","raw_affiliation_strings":["Dept. of SBAI, Rome University \u201cLa Sapienza\u201d, Italy","Dept. of SBAI, Rome University \"La Sapienza\", Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of SBAI, Rome University \u201cLa Sapienza\u201d, Italy","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"Dept. of SBAI, Rome University \"La Sapienza\", Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058321875","display_name":"Ivan Selesnick","orcid":"https://orcid.org/0000-0002-4939-3971"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I. Selesnick","raw_affiliation_strings":["New York University, New York, NY, US"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, US","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085846354","display_name":"Livio Tarchi","orcid":"https://orcid.org/0000-0002-9931-5621"},"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"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"L. Tarchi","raw_affiliation_strings":["IAC, National Research Council, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"IAC, National Research Council, Rome, Italy","institution_ids":["https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090824414","display_name":"Domenico Vitulano","orcid":"https://orcid.org/0000-0001-6088-9743"},"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"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"D. Vitulano","raw_affiliation_strings":["IAC, National Research Council, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"IAC, National Research Council, Rome, Italy","institution_ids":["https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001558556"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.1869,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59813794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5294","issue":null,"first_page":"2331","last_page":"2335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11165","display_name":"Image and Video Quality Assessment","score":0.9997000098228455,"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/preprocessor","display_name":"Preprocessor","score":0.7522936463356018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6707289814949036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6694834232330322},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.5831312537193298},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.540276825428009},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.5230394601821899},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5205343961715698},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5161310434341431},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5085715055465698},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5060381293296814},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4718209207057953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4493383765220642},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24108541011810303}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7522936463356018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6707289814949036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6694834232330322},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.5831312537193298},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.540276825428009},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.5230394601821899},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5205343961715698},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5161310434341431},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5085715055465698},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5060381293296814},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4718209207057953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4493383765220642},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24108541011810303},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eusipco.2015.7362801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/847935","is_oa":true,"landing_page_url":"http://hdl.handle.net/11573/847935","pdf_url":"http://hdl.handle.net/11573/847935","source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.uniroma1.it:11573/847935","is_oa":true,"landing_page_url":"http://hdl.handle.net/11573/847935","pdf_url":"http://hdl.handle.net/11573/847935","source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2212082934.pdf","grobid_xml":"https://content.openalex.org/works/W2212082934.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W99749851","https://openalex.org/W1545234847","https://openalex.org/W1977407587","https://openalex.org/W1980980120","https://openalex.org/W1981948882","https://openalex.org/W1997697000","https://openalex.org/W2009272644","https://openalex.org/W2016259051","https://openalex.org/W2046119925","https://openalex.org/W2062024414","https://openalex.org/W2098403512","https://openalex.org/W2107790757","https://openalex.org/W2116917808","https://openalex.org/W2122424808","https://openalex.org/W2128272608","https://openalex.org/W2133665775","https://openalex.org/W2155441809","https://openalex.org/W2157913805","https://openalex.org/W2170682758","https://openalex.org/W2773084012","https://openalex.org/W4255272544","https://openalex.org/W4285719527","https://openalex.org/W6603982535","https://openalex.org/W6632681488"],"related_works":["https://openalex.org/W3132983279","https://openalex.org/W2495356367","https://openalex.org/W2397288865","https://openalex.org/W1522520750","https://openalex.org/W2392687107","https://openalex.org/W3124990892","https://openalex.org/W2130323728","https://openalex.org/W2944641486","https://openalex.org/W2292083403","https://openalex.org/W2364766777"],"abstract_inverted_index":{"The":[0,59],"aim":[1],"of":[2,22,39,49,107,115,123],"this":[3],"paper":[4],"is":[5],"to":[6,18,52,88,103],"introduce":[7],"an":[8,76,83],"adaptive":[9,77],"preprocessing":[10,100],"procedure":[11],"based":[12],"on":[13],"human":[14,50],"perception":[15],"in":[16,44,113,121],"order":[17],"increase":[19,104],"the":[20,36,40,47,53,89,98,105],"performance":[21,106],"some":[23,108],"standard":[24,109],"image":[25,29,55,70,90,110],"processing":[26],"techniques.":[27],"Specifically,":[28],"frequency":[30,91],"content":[31],"has":[32,65],"been":[33,66],"weighted":[34],"by":[35],"corresponding":[37],"value":[38],"contrast":[41],"sensitivity":[42],"function,":[43],"agreement":[45],"with":[46],"sensitiveness":[48],"eye":[51],"different":[54],"frequencies":[56],"and":[57,78,85,118],"contrasts.":[58],"2D":[60],"Rational":[61],"dilation":[62],"wavelet":[63],"transform":[64],"employed":[67],"for":[68],"representing":[69],"frequencies.":[71],"In":[72],"fact,":[73],"it":[74],"provides":[75],"flexible":[79],"multiresolution":[80],"framework,":[81],"enabling":[82],"easy":[84],"straightforward":[86],"adaptation":[87],"content.":[92],"Preliminary":[93],"experimental":[94],"results":[95],"show":[96],"that":[97],"proposed":[99],"allows":[101],"us":[102],"enhancement":[111],"algorithms":[112],"terms":[114,122],"visual":[116],"quality":[117],"often":[119],"also":[120],"PSNR.":[124]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
