{"id":"https://openalex.org/W1996419141","doi":"https://doi.org/10.1117/12.2083408","title":"Fast HDR image upscaling using locally adapted linear filters","display_name":"Fast HDR image upscaling using locally adapted linear filters","publication_year":2015,"publication_date":"2015-02-27","ids":{"openalex":"https://openalex.org/W1996419141","doi":"https://doi.org/10.1117/12.2083408","mag":"1996419141"},"language":"en","primary_location":{"id":"doi:10.1117/12.2083408","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2083408","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5102759044","display_name":"Hossein Talebi","orcid":"https://orcid.org/0000-0002-5962-2563"},"institutions":[{"id":"https://openalex.org/I4210093996","display_name":"Dolby (United States)","ror":"https://ror.org/01eyenr26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093996"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hossein Talebi","raw_affiliation_strings":["Dolby Labs., Inc. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dolby Labs., Inc. (United States)","institution_ids":["https://openalex.org/I4210093996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012578054","display_name":"Guan\u2010Ming Su","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093996","display_name":"Dolby (United States)","ror":"https://ror.org/01eyenr26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093996"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guan-Ming Su","raw_affiliation_strings":["Dolby Labs., Inc. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dolby Labs., Inc. (United States)","institution_ids":["https://openalex.org/I4210093996"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007135039","display_name":"Peng Yin","orcid":"https://orcid.org/0000-0001-5423-6359"},"institutions":[{"id":"https://openalex.org/I4210093996","display_name":"Dolby (United States)","ror":"https://ror.org/01eyenr26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093996"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Yin","raw_affiliation_strings":["Dolby Labs., Inc. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dolby Labs., Inc. (United States)","institution_ids":["https://openalex.org/I4210093996"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210093996"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08293487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9404","issue":null,"first_page":"94040H","last_page":"94040H"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.7767112851142883},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.7393189668655396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7223740220069885},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.6987367272377014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.689500629901886},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6206276416778564},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6015981435775757},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.596118152141571},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.5490017533302307},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5085266828536987},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4694720506668091},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4330514669418335},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.42235714197158813},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.37414711713790894},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3508910536766052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.21944186091423035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767112851142883},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.7393189668655396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7223740220069885},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.6987367272377014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.689500629901886},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6206276416778564},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6015981435775757},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.596118152141571},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.5490017533302307},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5085266828536987},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4694720506668091},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4330514669418335},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.42235714197158813},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.37414711713790894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3508910536766052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.21944186091423035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2083408","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2083408","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1552869711","https://openalex.org/W1882343795","https://openalex.org/W2097074225","https://openalex.org/W2163480287","https://openalex.org/W2292976057","https://openalex.org/W2396233508","https://openalex.org/W4387684127","https://openalex.org/W6639244602","https://openalex.org/W6712543651"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2115969764","https://openalex.org/W2028994033","https://openalex.org/W2404808571","https://openalex.org/W2008675431","https://openalex.org/W1965307097","https://openalex.org/W2108229814","https://openalex.org/W3201593917","https://openalex.org/W976151698"],"abstract_inverted_index":{"A":[0],"new":[1,108],"method":[2,51],"for":[3,101],"upscaling":[4,149],"high":[5],"dynamic":[6],"range":[7],"(HDR)":[8],"images":[9,39,132],"is":[10,17,31,52],"introduced":[11],"in":[12,113],"this":[13],"paper.":[14],"Overshooting":[15],"artifact":[16],"the":[18,66,73,92,136,142,146],"common":[19],"problem":[20,30],"when":[21],"using":[22],"linear":[23,99,148],"filters":[24],"such":[25],"as":[26],"bicubic":[27],"interpolation.":[28],"This":[29,76,107],"visually":[32],"more":[33,43],"noticeable":[34],"while":[35],"working":[36],"on":[37],"HDR":[38,131],"where":[40],"there":[41],"exist":[42],"transitions":[44],"from":[45],"dark":[46],"to":[47,68,72],"bright.":[48],"Our":[49,122],"proposed":[50],"capable":[53],"of":[54,79,96,103,145],"handling":[55],"these":[56,104],"artifacts":[57,138],"by":[58],"computing":[59],"a":[60,114],"simple":[61],"gradient":[62],"map":[63],"which":[64,117],"enables":[65],"filter":[67,100,109,129],"be":[69,111],"locally":[70],"adapted":[71],"image":[74],"content.":[75],"adaptation":[77],"consists":[78],"first,":[80],"clustering":[81],"pixels":[82],"into":[83],"regions":[84],"with":[85,130],"similar":[86],"edge":[87],"structures":[88],"and":[89,94,139],"second,":[90],"learning":[91],"shape":[93],"length":[95],"our":[97,128],"symmetric":[98],"each":[102],"pixel":[105],"groups.":[106],"can":[110,133],"implemented":[112],"separable":[115],"fashion":[116],"perfectly":[118],"fits":[119],"hardware":[120],"implementations.":[121],"experimental":[123],"results":[124],"show":[125],"that":[126],"training":[127],"effectively":[134],"reduce":[135],"overshooting":[137],"improve":[140],"upon":[141],"visual":[143],"quality":[144],"existing":[147],"approaches.":[150]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
