{"id":"https://openalex.org/W2008386396","doi":"https://doi.org/10.1007/s00371-008-0231-2","title":"An improved contrast enhancing approach for color-to-grayscale mappings","display_name":"An improved contrast enhancing approach for color-to-grayscale mappings","publication_year":2008,"publication_date":"2008-05-28","ids":{"openalex":"https://openalex.org/W2008386396","doi":"https://doi.org/10.1007/s00371-008-0231-2","mag":"2008386396"},"language":"en","primary_location":{"id":"doi:10.1007/s00371-008-0231-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00371-008-0231-2","pdf_url":null,"source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","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/A5003774245","display_name":"Giovane R. Kuhn","orcid":null},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Giovane R. Kuhn","raw_affiliation_strings":["Instituto de Inform\u00e1tica, UFRGS, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil","UFRGS, Instituto de Inform\u00e1tica, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Inform\u00e1tica, UFRGS, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I130442723"]},{"raw_affiliation_string":"UFRGS, Instituto de Inform\u00e1tica, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil#TAB#","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065873350","display_name":"Manuel M. Oliveira","orcid":"https://orcid.org/0000-0003-4957-9984"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Manuel M. Oliveira","raw_affiliation_strings":["Instituto de Inform\u00e1tica, UFRGS, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil","UFRGS, Instituto de Inform\u00e1tica, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Inform\u00e1tica, UFRGS, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I130442723"]},{"raw_affiliation_string":"UFRGS, Instituto de Inform\u00e1tica, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil#TAB#","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000885442","display_name":"Leandro A. F. Fernandes","orcid":"https://orcid.org/0000-0001-8491-793X"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Leandro A. F. Fernandes","raw_affiliation_strings":["Instituto de Inform\u00e1tica, UFRGS, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil","UFRGS, Instituto de Inform\u00e1tica, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Inform\u00e1tica, UFRGS, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I130442723"]},{"raw_affiliation_string":"UFRGS, Instituto de Inform\u00e1tica, Av. Bento Gon\u00e7alves, 9500, Caixa Postal 15.064, Porto Alegre, RS, Brazil#TAB#","institution_ids":["https://openalex.org/I130442723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000885442"],"corresponding_institution_ids":["https://openalex.org/I130442723"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.7751,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.85694686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"7-9","first_page":"505","last_page":"514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9977999925613403,"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/chrominance","display_name":"Chrominance","score":0.9493515491485596},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.9191144704818726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.730582058429718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6999456882476807},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.6968896389007568},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.6708641648292542},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6676381826400757},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.6296818852424622},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5939483642578125},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.571510910987854},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4304482340812683},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.42446208000183105},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4240744709968567},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3844107985496521},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2919256091117859}],"concepts":[{"id":"https://openalex.org/C163204269","wikidata":"https://www.wikidata.org/wiki/Q355263","display_name":"Chrominance","level":3,"score":0.9493515491485596},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.9191144704818726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730582058429718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6999456882476807},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.6968896389007568},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.6708641648292542},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6676381826400757},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.6296818852424622},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5939483642578125},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.571510910987854},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4304482340812683},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.42446208000183105},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4240744709968567},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3844107985496521},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2919256091117859},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00371-008-0231-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00371-008-0231-2","pdf_url":null,"source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1507749617","https://openalex.org/W1992110876","https://openalex.org/W2004207806","https://openalex.org/W2044651523","https://openalex.org/W2062283315","https://openalex.org/W2078455576","https://openalex.org/W2085020374","https://openalex.org/W2147169375","https://openalex.org/W2161509693","https://openalex.org/W2323178299","https://openalex.org/W2913230171","https://openalex.org/W4234101299"],"related_works":["https://openalex.org/W2009194336","https://openalex.org/W2046493819","https://openalex.org/W2080985785","https://openalex.org/W2008386396","https://openalex.org/W2571757032","https://openalex.org/W2792489537","https://openalex.org/W2962819983","https://openalex.org/W2742029448","https://openalex.org/W2078870957","https://openalex.org/W2164812067"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}