{"id":"https://openalex.org/W2791501217","doi":"https://doi.org/10.1109/camsap.2017.8313070","title":"Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images","display_name":"Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2791501217","doi":"https://doi.org/10.1109/camsap.2017.8313070","mag":"2791501217"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2017.8313070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/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":true,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Integrated Intelligent Sensors Laboratory (I2Sense) Lab, University of Calgary, Calgary (Alberta), Canada"],"affiliations":[{"raw_affiliation_string":"Integrated Intelligent Sensors Laboratory (I2Sense) Lab, University of Calgary, Calgary (Alberta), 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":["Integrated Intelligent Sensors Laboratory (I2Sense) Lab, University of Calgary, Calgary (Alberta), Canada"],"affiliations":[{"raw_affiliation_string":"Integrated Intelligent Sensors Laboratory (I2Sense) Lab, University of Calgary, Calgary (Alberta), 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":["Integrated Intelligent Sensors Laboratory (I2Sense) Lab, University of Calgary, Calgary (Alberta), Canada"],"affiliations":[{"raw_affiliation_string":"Integrated Intelligent Sensors Laboratory (I2Sense) Lab, University of Calgary, Calgary (Alberta), 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":["Integrated Intelligent Sensors Laboratory (I2Sense) Lab, University of Calgary, Calgary (Alberta), Canada"],"affiliations":[{"raw_affiliation_string":"Integrated Intelligent Sensors Laboratory (I2Sense) Lab, University of Calgary, Calgary (Alberta), Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007036605"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51074946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9939000010490417,"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":0.9644774198532104},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.7349344491958618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.682497501373291},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6683729290962219},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6118350625038147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5980339050292969},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5803922414779663},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5499404072761536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5392031073570251},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5008950233459473},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48344048857688904},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.46568384766578674},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45754170417785645},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.4520260989665985},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.4260960817337036},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.42350202798843384},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.33932971954345703}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.9644774198532104},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.7349344491958618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682497501373291},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6683729290962219},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6118350625038147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5980339050292969},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5803922414779663},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5499404072761536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5392031073570251},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5008950233459473},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48344048857688904},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.46568384766578674},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45754170417785645},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.4520260989665985},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.4260960817337036},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.42350202798843384},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.33932971954345703},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap.2017.8313070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/W63042863","https://openalex.org/W1568014703","https://openalex.org/W1972612668","https://openalex.org/W2025134675","https://openalex.org/W2027262223","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/W2149077040","https://openalex.org/W2160956336","https://openalex.org/W2164847484","https://openalex.org/W2170288257","https://openalex.org/W2171529458","https://openalex.org/W2242047952","https://openalex.org/W2522349080","https://openalex.org/W2997077506","https://openalex.org/W2998514558","https://openalex.org/W3097096317","https://openalex.org/W6682361670"],"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/W2266849835","https://openalex.org/W2385217229","https://openalex.org/W2387482914","https://openalex.org/W2521033063","https://openalex.org/W2912390010"],"abstract_inverted_index":{"Maintaining":[0],"brightness":[1,42,109],"and":[2,44,52,80,93,110],"preserving":[3],"image":[4,64,79],"contrast":[5],"can":[6,102],"be":[7],"challenging":[8],"when":[9],"tone":[10,24],"mapping":[11,25],"wide":[12],"dynamic":[13],"range":[14],"(WDR)":[15],"images.":[16,31],"In":[17],"this":[18,86],"paper,":[19],"we":[20],"present":[21],"a":[22,61],"novel":[23],"algorithm":[26,33,87,101],"for":[27],"compressing":[28],"of":[29],"WDR":[30,35],"The":[32,40],"processes":[34],"images":[36,106],"in":[37,50,85],"different":[38],"scales.":[39],"overall":[41],"consistency":[43],"fine":[45],"details":[46],"are":[47,83],"well":[48],"preserved":[49],"large":[51],"small":[53],"scales,":[54],"respectively.":[55],"A":[56],"fusion":[57],"method":[58],"based":[59],"on":[60],"multi-scale":[62],"guided":[63],"filter":[65],"is":[66],"also":[67],"proposed":[68],"to":[69,73],"synthesize":[70],"all":[71],"scales":[72],"generate":[74],"the":[75],"final":[76],"image.":[77],"Integral":[78],"integral":[81],"histogram":[82],"utilized":[84],"which":[88],"greatly":[89],"reduces":[90],"computation":[91],"complexity":[92],"processing":[94],"time.":[95],"Experimental":[96],"results":[97],"show":[98],"that":[99],"our":[100],"produce":[103],"visually":[104],"appealing":[105],"with":[107],"good":[108],"high":[111],"local":[112],"contrast.":[113]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}