{"id":"https://openalex.org/W2131684546","doi":"https://doi.org/10.1109/icme.2010.5583305","title":"High Dynamic Range image tone mapping based on local Histogram Equalization","display_name":"High Dynamic Range image tone mapping based on local Histogram Equalization","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2131684546","doi":"https://doi.org/10.1109/icme.2010.5583305","mag":"2131684546"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5583305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5065703364","display_name":"Alberto Boschetti","orcid":null},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Boschetti","raw_affiliation_strings":["University of Brescia, Signal and Communication Lab, Brescia, Italy"],"affiliations":[{"raw_affiliation_string":"University of Brescia, Signal and Communication Lab, Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085695707","display_name":"Nicola Adami","orcid":"https://orcid.org/0000-0002-8879-9456"},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"N. Adami","raw_affiliation_strings":["University of Brescia, Signal and Communication Lab, Brescia, Italy"],"affiliations":[{"raw_affiliation_string":"University of Brescia, Signal and Communication Lab, Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077643154","display_name":"Riccardo Leonardi","orcid":"https://orcid.org/0000-0003-0755-1924"},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"R. Leonardi","raw_affiliation_strings":["University of Brescia, Signal and Communication Lab, Brescia, Italy"],"affiliations":[{"raw_affiliation_string":"University of Brescia, Signal and Communication Lab, Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025207272","display_name":"Masahiro Okuda","orcid":"https://orcid.org/0000-0002-3245-2672"},"institutions":[{"id":"https://openalex.org/I17056963","display_name":"The University of Kitakyushu","ror":"https://ror.org/03mfefw72","country_code":"JP","type":"education","lineage":["https://openalex.org/I17056963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Okuda","raw_affiliation_strings":["The University of Kitakyushu, Dept. of Information and Media Sciences, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Kitakyushu, Dept. of Information and Media Sciences, Fukuoka, Japan","institution_ids":["https://openalex.org/I17056963"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.335,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":27,"citation_normalized_percentile":{"value":0.933535,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":null,"issue":null,"first_page":"1130","last_page":"1135"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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/T11666","display_name":"Color Science and Applications","score":0.997,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9969,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.89989793},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.87411356},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.58322656},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.54266566}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.89989793},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.87411356},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.8380829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70069945},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6673751},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.6421007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61433274},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.6016941},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.58322656},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5673817},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.54266566},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5148736},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.51323175},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46753427},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.44760862},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27472252},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16333073},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13611722},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08889601},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5583305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.44}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1538209862","https://openalex.org/W1977507165","https://openalex.org/W2001412060","https://openalex.org/W2056016381","https://openalex.org/W2058333183","https://openalex.org/W2081418963","https://openalex.org/W2100115174","https://openalex.org/W2114090254","https://openalex.org/W2119565138","https://openalex.org/W2164646284","https://openalex.org/W2170288257","https://openalex.org/W2240434622","https://openalex.org/W2242047952","https://openalex.org/W2244684328","https://openalex.org/W2569004391","https://openalex.org/W4212783130"],"related_works":["https://openalex.org/W4256469574","https://openalex.org/W2912390010","https://openalex.org/W2521033063","https://openalex.org/W2393164332","https://openalex.org/W2387482914","https://openalex.org/W2385217229","https://openalex.org/W2376822833","https://openalex.org/W2266849835","https://openalex.org/W2162593906","https://openalex.org/W2015245117"],"abstract_inverted_index":{"High":[0],"Dynamic":[1,20],"Range":[2,21],"(HDR)":[3],"images":[4,45],"can":[5],"represent":[6],"the":[7,25,39,86,99,103,115,128,139,144,148,152],"acquired":[8],"scene":[9],"with":[10],"a":[11,64,71,79,111,169],"greater":[12],"dynamic":[13,65],"range":[14,66],"of":[15,28,117,138,147],"luminance":[16],"than":[17],"classical":[18],"Low":[19],"(LDR)":[22],"ones.":[23],"Despite":[24],"recent":[26],"diffusion":[27],"some":[29],"HDR":[30,33,44],"camera":[31,179],"models,":[32],"displays":[34],"are":[35],"not":[36],"yet":[37],"in":[38,50,63,102,158,172],"market.":[40],"For":[41],"this":[42,77],"reason":[43],"need":[46],"to":[47,52,98,154],"be":[48,53],"adapted":[49],"order":[51],"properly":[54],"rendered":[55],"through":[56],"conventional":[57],"devices.":[58],"This":[59,164],"operation":[60],"mainly":[61],"consists":[62],"compression":[67],"realized":[68],"by":[69,135],"applying":[70,136],"Tone":[72],"Mapping":[73],"Operator":[74],"(TMO).":[75],"In":[76],"work,":[78],"new":[80,112],"tone":[81,119],"map":[82],"algorithm,":[83],"derived":[84],"from":[85],"Contrast":[87],"Limited":[88],"Adaptive":[89],"Histogram":[90],"Equalization":[91],"(CLAHE)":[92],"technique,":[93],"is":[94,151],"presented.":[95],"With":[96],"respect":[97],"original":[100],"CLAHE,":[101],"proposed":[104,149],"implementation":[105],"an":[106],"adaptive":[107],"contrast":[108],"limit":[109],"and":[110,132,161,176],"strategy":[113],"for":[114,167],"determination":[116],"local":[118],"mapping":[120],"functions":[121],"have":[122],"been":[123],"introduced.":[124],"The":[125],"comparison":[126],"between":[127],"obtained":[129],"LDR":[130],"images,":[131],"those":[133],"produced":[134],"State":[137],"Art":[140],"TMOs,":[141],"evidences":[142],"how":[143],"main":[145],"characteristic":[146],"algorithm":[150],"ability":[153],"equally":[155],"enhance":[156],"visibility":[157],"both":[159],"dark":[160],"bright":[162],"areas.":[163],"could":[165],"be,":[166],"example,":[168],"key":[170],"feature":[171],"video":[173],"surveillance":[174],"applications":[175],"automotive":[177],"safety":[178],"systems.":[180]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2131684546","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-01-01T19:52:53.806574","created_date":"2016-06-24"}