{"id":"https://openalex.org/W2921640567","doi":"https://doi.org/10.23919/apsipa.2018.8659551","title":"Image Fusion for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures","display_name":"Image Fusion for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2921640567","doi":"https://doi.org/10.23919/apsipa.2018.8659551","mag":"2921640567"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659551","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5054393759","display_name":"Chihiro Go","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Chihiro Go","raw_affiliation_strings":["Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043769131","display_name":"Yuma Kinoshita","orcid":"https://orcid.org/0000-0001-8455-1288"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuma Kinoshita","raw_affiliation_strings":["Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067910092","display_name":"Sayaka Shiota","orcid":"https://orcid.org/0000-0002-2364-068X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sayaka Shiota","raw_affiliation_strings":["Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079306349","display_name":"Hitoshi Kiua","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi Kiua","raw_affiliation_strings":["Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054393759"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.2179,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5422886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1082","last_page":"1086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"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/single-shot","display_name":"Single shot","score":0.8557347059249878},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7381956577301025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7303186058998108},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.7065547704696655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6844922304153442},{"id":"https://openalex.org/keywords/multiple-exposure","display_name":"Multiple exposure","score":0.6589087247848511},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5458663702011108},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5301039218902588},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5300811529159546},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5297746658325195},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5270628929138184},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5147590637207031},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.495976060628891},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.49150216579437256},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44577810168266296},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4348154067993164},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31496837735176086},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19391480088233948},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1071363091468811},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07363176345825195},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07150864601135254}],"concepts":[{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.8557347059249878},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7381956577301025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7303186058998108},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.7065547704696655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844922304153442},{"id":"https://openalex.org/C2779990520","wikidata":"https://www.wikidata.org/wiki/Q1561409","display_name":"Multiple exposure","level":2,"score":0.6589087247848511},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5458663702011108},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5301039218902588},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5300811529159546},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5297746658325195},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5270628929138184},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5147590637207031},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.495976060628891},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.49150216579437256},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44577810168266296},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4348154067993164},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31496837735176086},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19391480088233948},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1071363091468811},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07363176345825195},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07150864601135254},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659551","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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":22,"referenced_works":["https://openalex.org/W277686387","https://openalex.org/W1506806321","https://openalex.org/W1980076050","https://openalex.org/W2033686334","https://openalex.org/W2074172223","https://openalex.org/W2098691629","https://openalex.org/W2099111195","https://openalex.org/W2103802376","https://openalex.org/W2151502878","https://openalex.org/W2210387432","https://openalex.org/W2240434622","https://openalex.org/W2462232592","https://openalex.org/W2573351491","https://openalex.org/W2593711610","https://openalex.org/W2785400292","https://openalex.org/W2786718214","https://openalex.org/W2883261402","https://openalex.org/W2887859766","https://openalex.org/W2964034871","https://openalex.org/W2999388423","https://openalex.org/W4254791684","https://openalex.org/W7066175432"],"related_works":["https://openalex.org/W3158596814","https://openalex.org/W4225755304","https://openalex.org/W2017905716","https://openalex.org/W1986149022","https://openalex.org/W3211839735","https://openalex.org/W4226247424","https://openalex.org/W2086956190","https://openalex.org/W4294982731","https://openalex.org/W1978234925","https://openalex.org/W2037595055"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,36,77],"novel":[4],"multi-exposure":[5,85],"image":[6],"fusion":[7],"scheme":[8,152,169],"for":[9],"single-shot":[10,37,140],"high":[11],"dynamic":[12],"range":[13],"imaging":[14,21,136,157,177],"with":[15,22,117,179],"spatially":[16],"varying":[17],"exposures":[18,53],"(SVE).":[19],"Single-shot":[20],"SVE":[23],"enables":[24],"us":[25,122],"not":[26],"only":[27],"to":[28,41,57,64,83,98,123,145],"produce":[29],"images":[30,94],"without":[31],"color":[32],"saturation":[33],"regions":[34],"from":[35],"image,":[38],"but":[39],"also":[40],"avoid":[42],"ghost":[43],"artifacts":[44],"in":[45],"the":[46,50,66,71,74,89,92,101,106,118,125,147,150,164,167,174],"producing":[47],"ones.":[48],"However,":[49],"number":[51,102],"of":[52,91,100,103,139,149,155,166],"is":[54,62,81,95,170],"generally":[55],"limited":[56],"two,":[58],"and":[59,87,105,111,158,178],"moreover":[60],"it":[61],"difficult":[63],"decide":[65],"optimum":[67],"exposure":[68,109],"values":[69,110],"before":[70],"photographing.":[72],"In":[73,129,161],"proposed":[75,115,151,168],"scheme,":[76],"scene":[78],"segmentation":[79],"method":[80,116],"applied":[82],"input":[84,93],"images,":[86],"then":[88],"luminance":[90,119],"adjusted":[96],"according":[97],"both":[99,154],"scenes":[104],"relationship":[107],"between":[108],"pixel":[112],"values.":[113],"The":[114],"adjustment":[120],"allows":[121],"improve":[124],"above":[126],"two":[127],"issues.":[128],"this":[130],"paper,":[131],"we":[132],"focus":[133],"on":[134],"dual-ISO":[135,156,176],"as":[137],"one":[138],"imaging.":[141],"Experiments":[142],"are":[143],"demonstrated":[144,171],"confirm":[146],"effectiveness":[148,165],"under":[153],"single-ISO":[159,180],"one.":[160,181],"an":[162],"experiment,":[163],"by":[172],"comparing":[173],"previous":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
