{"id":"https://openalex.org/W2067470403","doi":"https://doi.org/10.1109/icassp.2014.6854045","title":"A statistical derivation of an automatic tone mapping algorithm for wide dynamic range display","display_name":"A statistical derivation of an automatic tone mapping algorithm for wide dynamic range display","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2067470403","doi":"https://doi.org/10.1109/icassp.2014.6854045","mag":"2067470403"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/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":true,"raw_author_name":"Alain Hore","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada","Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, 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":["Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada","Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062301934"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":1.2194,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83433682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"2475","last_page":"2479"},"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/T11666","display_name":"Color Science and Applications","score":0.9991000294685364,"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":0.9966999888420105,"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":0.9741891622543335},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.8531736135482788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7168608903884888},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.6500091552734375},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6402308940887451},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6179668307304382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5998684167861938},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5461432337760925},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.512017548084259},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4864754378795624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48040059208869934},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47428470849990845},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4502505660057068},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4268975853919983},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4200108051300049}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.9741891622543335},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.8531736135482788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168608903884888},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.6500091552734375},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6402308940887451},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6179668307304382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5998684167861938},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5461432337760925},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.512017548084259},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4864754378795624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48040059208869934},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47428470849990845},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4502505660057068},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4268975853919983},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4200108051300049},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":25,"referenced_works":["https://openalex.org/W658212994","https://openalex.org/W1976478698","https://openalex.org/W2006671464","https://openalex.org/W2023292900","https://openalex.org/W2027262223","https://openalex.org/W2048881835","https://openalex.org/W2053655320","https://openalex.org/W2074015156","https://openalex.org/W2080258428","https://openalex.org/W2116057693","https://openalex.org/W2141847061","https://openalex.org/W2148912807","https://openalex.org/W2155138846","https://openalex.org/W2162347877","https://openalex.org/W2162796060","https://openalex.org/W2164716550","https://openalex.org/W2170288257","https://openalex.org/W2170410665","https://openalex.org/W2237445422","https://openalex.org/W2242047952","https://openalex.org/W2336176486","https://openalex.org/W2997077506","https://openalex.org/W6651914175","https://openalex.org/W6684076764","https://openalex.org/W6685119988"],"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":[3,72],"present":[4],"a":[5],"modified":[6],"tone":[7,33,60,104],"mapping":[8,61,105],"algorithm":[9,20,94],"for":[10],"displaying":[11],"wide":[12],"dynamic":[13],"range":[14],"images":[15,69,77],"with":[16],"good":[17,85,90],"brightness.":[18],"Our":[19],"embeds":[21],"an":[22,109],"automatic":[23],"computation":[24],"of":[25,32,39,42,54,92,102],"the":[26,30,100,103],"key":[27],"parameter":[28],"controlling":[29],"brightness":[31,86],"mapped":[34],"images,":[35],"which":[36,78,83],"make":[37],"use":[38,101],"statistical":[40],"analysis":[41],"WDR":[43,68],"images.":[44],"This":[45],"enables":[46],"to":[47,75],"prevent":[48],"unnecessary":[49],"or":[50],"cumbersome":[51],"manual":[52],"tuning":[53],"parameters":[55],"as":[56],"often":[57],"found":[58],"in":[59],"algorithms.":[62],"Experimental":[63],"results":[64],"performed":[65],"on":[66],"different":[67],"show":[70],"that":[71],"are":[73,79],"able":[74],"get":[76],"visually":[80],"pleasant":[81],"and":[82,87],"have":[84],"contrast.":[88],"The":[89],"performance":[91],"our":[93],"is":[95],"also":[96],"confirmed":[97],"numerically":[98],"through":[99],"quality":[106,112],"index":[107],"(TMQI),":[108],"objective":[110],"image":[111],"measure.":[113]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
