{"id":"https://openalex.org/W2765376230","doi":"https://doi.org/10.1109/avss.2017.8078533","title":"Multi-Scale histogram tone mapping algorithm enables better object detection in wide dynamic range images","display_name":"Multi-Scale histogram tone mapping algorithm enables better object detection in wide dynamic range images","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2765376230","doi":"https://doi.org/10.1109/avss.2017.8078533","mag":"2765376230"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2017.8078533","is_oa":false,"landing_page_url":"http://doi.org/10.1109/avss.2017.8078533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007036605","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-4148-0042"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062301934","display_name":"Alain Hor\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alain Hore","raw_affiliation_strings":["University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032815736","display_name":"Ulian Shahnovich","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ulian Shahnovich","raw_affiliation_strings":["University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070572598","display_name":"Kenneth Lai","orcid":"https://orcid.org/0000-0003-1513-5509"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kenneth Lai","raw_affiliation_strings":["University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085946799","display_name":"Svetlana Yanushkevich","orcid":"https://orcid.org/0000-0003-4794-9849"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. N. Yanushkevich","raw_affiliation_strings":["University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108639797","display_name":"Orly Yadid-Pecht","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Orly Yadid-Pecht","raw_affiliation_strings":["University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4 Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":0.1592,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.51884683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2003","issue":null,"first_page":"1","last_page":"6"},"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":0.9957000017166138,"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/T11666","display_name":"Color Science and Applications","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.8165866136550903},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7683628797531128},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7287154793739319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6885831356048584},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.6748079061508179},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6385652422904968},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5945008993148804},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5347057580947876},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49028781056404114},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4869929254055023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.474710613489151},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4630110263824463},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43204164505004883},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4113613963127136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40032756328582764},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.363827645778656},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2802342176437378}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.8165866136550903},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7683628797531128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7287154793739319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6885831356048584},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.6748079061508179},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6385652422904968},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5945008993148804},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5347057580947876},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49028781056404114},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4869929254055023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.474710613489151},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4630110263824463},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43204164505004883},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4113613963127136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40032756328582764},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.363827645778656},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2802342176437378},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2017.8078533","is_oa":false,"landing_page_url":"http://doi.org/10.1109/avss.2017.8078533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W63042863","https://openalex.org/W1568014703","https://openalex.org/W1972612668","https://openalex.org/W1995433238","https://openalex.org/W1998937249","https://openalex.org/W1998983504","https://openalex.org/W2025134675","https://openalex.org/W2027262223","https://openalex.org/W2046963305","https://openalex.org/W2048881835","https://openalex.org/W2067470403","https://openalex.org/W2069281566","https://openalex.org/W2074015156","https://openalex.org/W2102993377","https://openalex.org/W2115405325","https://openalex.org/W2116057693","https://openalex.org/W2119565138","https://openalex.org/W2141957843","https://openalex.org/W2147283416","https://openalex.org/W2160956336","https://openalex.org/W2162796060","https://openalex.org/W2164716550","https://openalex.org/W2164847484","https://openalex.org/W2170288257","https://openalex.org/W2171529458","https://openalex.org/W2242047952","https://openalex.org/W2244684328","https://openalex.org/W2997077506","https://openalex.org/W2998514558","https://openalex.org/W3097096317","https://openalex.org/W6678827375","https://openalex.org/W6684076764","https://openalex.org/W6685182829"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2410869481","https://openalex.org/W1939253538","https://openalex.org/W2028994033","https://openalex.org/W2063779402","https://openalex.org/W2162796060","https://openalex.org/W2065738242","https://openalex.org/W2737661967","https://openalex.org/W2008321379"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5],"novel":[6],"tone":[7,36],"mapping":[8],"algorithm":[9,35,105],"based":[10,39,95],"on":[11,40],"multi-scale":[12],"histograms":[13],"and":[14,24,54,80,110,114],"fusion":[15],"(MS-Hist),":[16],"for":[17,87],"displaying":[18],"wide":[19],"dynamic":[20],"range":[21],"(WDR)":[22],"images":[23,68],"better":[25],"detection":[26,89,121],"of":[27,66,69,84],"objects":[28],"such":[29,92,118],"as":[30,93,119],"human":[31],"faces.":[32],"The":[33],"proposed":[34,103],"maps":[37],"pixels":[38],"multiple":[41],"scale":[42],"local":[43,52,112],"histograms,":[44],"where":[45],"small":[46],"scales":[47,56],"are":[48],"used":[49],"to":[50,58,78],"preserve":[51],"contrast":[53],"large":[55],"allow":[57],"maintain":[59],"the":[60,82,102],"global":[61],"brightness":[62,109],"consistency.":[63],"A":[64],"database":[65],"WDR":[67,123],"humans":[70],"depicted":[71],"in":[72,90,122],"high-contrast":[73],"light":[74],"conditions":[75],"was":[76],"created":[77],"validate":[79],"compare":[81],"performance":[83],"various":[85],"algorithms":[86],"face":[88,120],"tasks":[91,117],"biometric":[94],"identification.":[96],"Our":[97],"experimental":[98],"results":[99],"show":[100],"that":[101],"MS-Hist":[104],"preserves":[106],"image":[107],"detail,":[108],"high":[111],"contrast,":[113],"can":[115],"benefit":[116],"images.":[124]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
