乐胖代购免代理版

{"id":"https://openalex.org/W2566600232","doi":"https://doi.org/10.1109/icip.2016.7532485","title":"Real-time temporally coherent local HDR tone mapping","display_name":"Real-time temporally coherent local HDR tone mapping","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2566600232","doi":"https://doi.org/10.1109/icip.2016.7532485","mag":"2566600232"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532485","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5033809465","display_name":"Simone Croci","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Simone Croci","raw_affiliation_strings":["Disney Research","ETH, Zurich"],"affiliations":[{"raw_affiliation_string":"Disney Research","institution_ids":["https://openalex.org/I4210142140"]},{"raw_affiliation_string":"ETH, Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109504462","display_name":"Tun\u00e7 Ozan Ayd\u0131n","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tunc Ozan Aydin","raw_affiliation_strings":["Disney Research"],"affiliations":[{"raw_affiliation_string":"Disney Research","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018429697","display_name":"Nikol\u010de Stefanoski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikolce Stefanoski","raw_affiliation_strings":["Disney Research"],"affiliations":[{"raw_affiliation_string":"Disney Research","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033076979","display_name":"Markus Gro\u00df","orcid":"https://orcid.org/0009-0003-9324-779X"},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Markus Gross","raw_affiliation_strings":["Disney Research","ETH, Zurich"],"affiliations":[{"raw_affiliation_string":"Disney Research","institution_ids":["https://openalex.org/I4210142140"]},{"raw_affiliation_string":"ETH, Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069857775","display_name":"Aljo\u0161a Smoli\u0107","orcid":"https://orcid.org/0000-0001-7033-3335"},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aljoscha Smolic","raw_affiliation_strings":["Disney Research"],"affiliations":[{"raw_affiliation_string":"Disney Research","institution_ids":["https://openalex.org/I4210142140"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.248,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.703363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"889","last_page":"893"},"is_retracted":false,"is_paratext":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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9981,"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":0.8955026},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.6312416},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical Flow","score":0.49140704}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.8955026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76843715},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6453609},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.6312416},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.544988},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.54042315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.52502257},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5066796},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.49140704},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.47220406},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16351351},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.08393252},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532485","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1545790492","https://openalex.org/W1969866619","https://openalex.org/W1976689962","https://openalex.org/W1996285419","https://openalex.org/W1998446129","https://openalex.org/W1998983504","https://openalex.org/W2024416057","https://openalex.org/W2027262223","https://openalex.org/W2053017016","https://openalex.org/W2060970533","https://openalex.org/W2071927195","https://openalex.org/W2080701608","https://openalex.org/W2098691629","https://openalex.org/W2115405325","https://openalex.org/W2126571812","https://openalex.org/W2130371553","https://openalex.org/W2156956645","https://openalex.org/W2237445422","https://openalex.org/W2240434622","https://openalex.org/W2606671769","https://openalex.org/W2789145515","https://openalex.org/W2999388423","https://openalex.org/W3142504410","https://openalex.org/W4254791684","https://openalex.org/W4285719527","https://openalex.org/W604137304"],"related_works":["https://openalex.org/W3136079841","https://openalex.org/W2966189336","https://openalex.org/W2401918037","https://openalex.org/W2342978393","https://openalex.org/W2144227365","https://openalex.org/W2020785490","https://openalex.org/W2014689642","https://openalex.org/W1987078514","https://openalex.org/W1981480020","https://openalex.org/W1967499694"],"abstract_inverted_index":{"Subjective":[0],"studies":[1],"showed":[2],"that":[3,73],"most":[4],"HDR":[5,37],"video":[6],"tone":[7,38],"mapping":[8,39],"operators":[9],"either":[10],"produce":[11],"disturbing":[12],"temporal":[13,111],"artifacts,":[14],"or":[15],"are":[16],"limited":[17],"in":[18,132],"their":[19],"local":[20,36],"contrast":[21],"reproduction":[22],"capability.":[23],"Recently,":[24],"both":[25,45],"these":[26],"issues":[27],"have":[28],"been":[29,43],"addressed":[30],"by":[31,93,104],"a":[32,49,69,84,114],"novel":[33],"temporally":[34],"coherent":[35],"method,":[40],"which":[41,87],"has":[42],"shown,":[44],"qualitatively":[46],"and":[47],"through":[48],"subjective":[50],"study,":[51],"to":[52,56,97],"be":[53,76],"advantageous":[54],"compared":[55],"previous":[57,91],"methods.":[58],"However,":[59],"this":[60,80,103],"method's":[61],"high-quality":[62],"results":[63],"came":[64],"at":[65],"the":[66,90,106,121,126],"cost":[67],"of":[68,125],"computationally":[70],"expensive":[71],"workflow":[72],"could":[74],"only":[75],"executed":[77],"offline.":[78],"In":[79],"paper,":[81],"we":[82,119],"present":[83],"modified":[85],"algorithm":[86],"builds":[88],"upon":[89],"work":[92],"redesigning":[94],"key":[95],"components":[96],"achieve":[98],"real-time":[99],"performance.":[100],"We":[101],"accomplish":[102],"replacing":[105],"optical":[107],"flow":[108],"based":[109],"per-pixel":[110],"coherency":[112],"with":[113,129],"tone-curve-space":[115],"alternative.":[116],"This":[117],"way":[118],"eliminate":[120],"main":[122],"computational":[123],"burden":[124],"original":[127],"method":[128],"little":[130],"sacrifice":[131],"visual":[133],"quality.":[134]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2566600232","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-01-07T12:39:27.995574","created_date":"2017-01-06"}