{"id":"https://openalex.org/W2810809735","doi":"https://doi.org/10.1109/isspit.2017.8388632","title":"Revisited histogram equalization as HDR images tone mapping operators","display_name":"Revisited histogram equalization as HDR images tone mapping operators","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2810809735","doi":"https://doi.org/10.1109/isspit.2017.8388632","mag":"2810809735"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2017.8388632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2017.8388632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-02428278","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072776893","display_name":"Anas Husseis","orcid":"https://orcid.org/0000-0001-6327-5659"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anas Husseis","raw_affiliation_strings":["L2TI, Universite Paris, Villetaneuse, France","L2TI - Laboratoire de Traitement et Transport de l'Information (Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99 avenue Jean-Baptiste Cl\u00e9ment, F-93430, Villetaneuse - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"L2TI, Universite Paris, Villetaneuse, France","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"L2TI - Laboratoire de Traitement et Transport de l'Information (Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99 avenue Jean-Baptiste Cl\u00e9ment, F-93430, Villetaneuse - France)","institution_ids":["https://openalex.org/I4210091279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035263631","display_name":"Anissa Mokraoui","orcid":"https://orcid.org/0000-0001-6447-8722"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anissa Mokraoui","raw_affiliation_strings":["L2TI, Universite Paris, Villetaneuse, France","L2TI - Laboratoire de Traitement et Transport de l'Information (Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99 avenue Jean-Baptiste Cl\u00e9ment, F-93430, Villetaneuse - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"L2TI, Universite Paris, Villetaneuse, France","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"L2TI - Laboratoire de Traitement et Transport de l'Information (Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99 avenue Jean-Baptiste Cl\u00e9ment, F-93430, Villetaneuse - France)","institution_ids":["https://openalex.org/I4210091279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038788971","display_name":"Basarab Mate\u00ef","orcid":"https://orcid.org/0000-0001-7946-530X"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210102686","display_name":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","ror":"https://ror.org/018nzqy79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210102686","https://openalex.org/I4210141950","https://openalex.org/I48825208"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Basarab Matei","raw_affiliation_strings":["L2TI, Universite Paris, Villetaneuse, France","LAGA - Laboratoire Analyse, G\u00e9om\u00e9trie et Applications (Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99 avenue Jean-Baptiste Cl\u00e9ment, F-93430, Villetaneuse, France - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"L2TI, Universite Paris, Villetaneuse, France","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"LAGA - Laboratoire Analyse, G\u00e9om\u00e9trie et Applications (Institut Galil\u00e9e, Universit\u00e9 Paris 13, 99 avenue Jean-Baptiste Cl\u00e9ment, F-93430, Villetaneuse, France - France)","institution_ids":["https://openalex.org/I4210102686","https://openalex.org/I4210091279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8313,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83269435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"144","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":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":0.9965999722480774,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9962999820709229,"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/tone-mapping","display_name":"Tone mapping","score":0.8640356063842773},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.7863444685935974},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.7313871383666992},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7191867828369141},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7058665752410889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6942819952964783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6919658780097961},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6468127965927124},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.6406553983688354},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.5367570519447327},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5186823606491089},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5122434496879578},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.4894973039627075},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4333912134170532},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4294167757034302},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.42657095193862915},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.41670486330986023},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36769944429397583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15817663073539734},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10352244973182678},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.07341593503952026}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.8640356063842773},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.7863444685935974},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.7313871383666992},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7191867828369141},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7058665752410889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942819952964783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6919658780097961},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6468127965927124},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.6406553983688354},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5367570519447327},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5186823606491089},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5122434496879578},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.4894973039627075},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4333912134170532},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4294167757034302},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.42657095193862915},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.41670486330986023},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36769944429397583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15817663073539734},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10352244973182678},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.07341593503952026},{"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/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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isspit.2017.8388632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2017.8388632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02428278v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02428278","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"International Symposium on Signal Processing and Information Technology (ISSPIT), Dec 2017, Bilbao, Spain. ⟨10.1109/ISSPIT.2017.8388632⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02428278v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02428278","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"International Symposium on Signal Processing and Information Technology (ISSPIT), Dec 2017, Bilbao, Spain. ⟨10.1109/ISSPIT.2017.8388632⟩","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1483393136","https://openalex.org/W1976478698","https://openalex.org/W1989590628","https://openalex.org/W1995433238","https://openalex.org/W1995875735","https://openalex.org/W2012554041","https://openalex.org/W2023292900","https://openalex.org/W2074709600","https://openalex.org/W2086809533","https://openalex.org/W2101981311","https://openalex.org/W2117559445","https://openalex.org/W2123499003","https://openalex.org/W2131684546","https://openalex.org/W2139375301","https://openalex.org/W2170288257","https://openalex.org/W2242047952","https://openalex.org/W2562275748","https://openalex.org/W2997077506","https://openalex.org/W4300142895"],"related_works":["https://openalex.org/W2162593906","https://openalex.org/W2015245117","https://openalex.org/W2376822833","https://openalex.org/W4256469574","https://openalex.org/W2393164332","https://openalex.org/W2912390010","https://openalex.org/W2266849835","https://openalex.org/W2385217229","https://openalex.org/W2387482914","https://openalex.org/W2521033063"],"abstract_inverted_index":{"High":[0],"Dynamic":[1,29],"Range":[2,30],"(HDR)":[3],"image":[4,77],"provides":[5],"higher":[6],"perceptual":[7],"quality":[8,96],"such":[9,100],"that":[10,51,130],"it":[11],"appears":[12],"considerably":[13],"more":[14,135],"realistic":[15],"and":[16],"attractive":[17],"for":[18,122],"the":[19,45,71,75,79,94,102,106,112,131,138,142,148],"human":[20],"observer.":[21],"Since":[22],"most":[23,145],"of":[24,34,81,97,105,111,141,147],"current":[25],"screens":[26],"are":[27],"Low":[28],"(LDR)":[31],"screens,":[32],"lots":[33],"researches":[35],"have":[36],"been":[37],"proposed":[38,132],"to":[39,54,92,117],"design":[40],"tone":[41,57],"mapping":[42],"algorithms":[43,87],"converting":[44],"HDR":[46,76,123,149],"images":[47,59,99],"into":[48],"a":[49,109],"range":[50],"is":[52,125],"suitable":[53],"display":[55],"these":[56],"mapped":[58],"on":[60],"standard":[61],"LDR":[62,98],"screens.":[63],"For":[64],"this":[65,67],"purpose,":[66],"paper":[68],"first":[69],"investigates":[70],"pixels":[72],"distribution":[73],"in":[74,144],"through":[78],"study":[80],"various":[82],"traditional":[83],"Histogram":[84,113],"Equalization":[85],"(HE)":[86],"which":[88],"were":[89],"originally":[90],"developed":[91,121],"improve":[93],"visual":[95],"as":[101],"contrast":[103],"enhancement":[104],"latter.":[107],"Moreover,":[108],"modification":[110,133],"Adjustment":[114],"based":[115],"Linear":[116],"Equalized":[118],"Quantizer":[119],"(HALEQ),":[120],"images,":[124],"proposed.":[126],"Simulation":[127],"results":[128],"show":[129],"preserves":[134],"details":[136],"than":[137],"original":[139],"version":[140],"algorithm":[143],"parts":[146],"image.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}