{"id":"https://openalex.org/W3167916439","doi":"https://doi.org/10.3390/s21124032","title":"Deep HDR Hallucination for Inverse Tone Mapping","display_name":"Deep HDR Hallucination for Inverse Tone Mapping","publication_year":2021,"publication_date":"2021-06-11","ids":{"openalex":"https://openalex.org/W3167916439","doi":"https://doi.org/10.3390/s21124032","mag":"3167916439","pmid":"https://pubmed.ncbi.nlm.nih.gov/34208062"},"language":"en","primary_location":{"id":"doi:10.3390/s21124032","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21124032","pdf_url":"https://www.mdpi.com/1424-8220/21/12/4032/pdf?version=1623401313","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/12/4032/pdf?version=1623401313","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Demetris Marnerides","orcid":null},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Demetris Marnerides","raw_affiliation_strings":["WMG, University of Warwick, Coventry CV4 7AL, UK"],"affiliations":[{"raw_affiliation_string":"WMG, University of Warwick, Coventry CV4 7AL, UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Thomas Bashford-Rogers","orcid":"https://orcid.org/0000-0003-4669-0417"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thomas Bashford-Rogers","raw_affiliation_strings":["Department of Computer Science and Creative Technologies, University of the West of England, Bristol BS16 1GY, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Creative Technologies, University of the West of England, Bristol BS16 1GY, UK","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kurt Debattista","orcid":"https://orcid.org/0000-0003-2982-5199"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Kurt Debattista","raw_affiliation_strings":["WMG, University of Warwick, Coventry CV4 7AL, UK"],"affiliations":[{"raw_affiliation_string":"WMG, University of Warwick, Coventry CV4 7AL, UK","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.3597,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82979858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"12","first_page":"4032","last_page":"4032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9761000275611877,"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":0.9761000275611877,"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":0.004999999888241291,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0035000001080334187,"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/inpainting","display_name":"Inpainting","score":0.9121000170707703},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.8694000244140625},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6495000123977661},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.6355999708175659},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6308000087738037},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5748999714851379},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5426999926567078},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5356000065803528},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.48399999737739563}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9121000170707703},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.8694000244140625},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6495000123977661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6385999917984009},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.6355999708175659},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6308000087738037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5839999914169312},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5748999714851379},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5426999926567078},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5356000065803528},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4846000075340271},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.48399999737739563},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43459999561309814},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.414000004529953},{"id":"https://openalex.org/C2779948431","wikidata":"https://www.wikidata.org/wiki/Q17092649","display_name":"Inverse filter","level":3,"score":0.40400001406669617},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2872999906539917},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.2840000092983246},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.2831999957561493},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.27140000462532043},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C2779990520","wikidata":"https://www.wikidata.org/wiki/Q1561409","display_name":"Multiple exposure","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2540000081062317}],"mesh":[{"descriptor_ui":"D006212","descriptor_name":"Hallucinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006212","descriptor_name":"Hallucinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006212","descriptor_name":"Hallucinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006212","descriptor_name":"Hallucinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":7,"locations":[{"id":"doi:10.3390/s21124032","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21124032","pdf_url":"https://www.mdpi.com/1424-8220/21/12/4032/pdf?version=1623401313","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34208062","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34208062","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:wrap.warwick.ac.uk:154164","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:2106.09486","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.09486","pdf_url":"https://arxiv.org/pdf/2106.09486","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:5653262404ff4b4eb20feb092817c702","is_oa":true,"landing_page_url":"https://doaj.org/article/5653262404ff4b4eb20feb092817c702","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 12, p 4032 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/12/4032/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21124032","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 12; Pages: 4032","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8230591","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8230591","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21124032","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21124032","pdf_url":"https://www.mdpi.com/1424-8220/21/12/4032/pdf?version=1623401313","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3167916439.pdf","grobid_xml":"https://content.openalex.org/works/W3167916439.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1901129140","https://openalex.org/W1965557220","https://openalex.org/W1997746542","https://openalex.org/W2001868068","https://openalex.org/W2008675431","https://openalex.org/W2048327394","https://openalex.org/W2063779402","https://openalex.org/W2108598243","https://openalex.org/W2133665775","https://openalex.org/W2240650900","https://openalex.org/W2331128040","https://openalex.org/W2738588019","https://openalex.org/W2746556728","https://openalex.org/W2766497195","https://openalex.org/W2769930525","https://openalex.org/W2784446449","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W2963800363","https://openalex.org/W2963882477","https://openalex.org/W2964076515","https://openalex.org/W3024380564","https://openalex.org/W3034348260","https://openalex.org/W3034628923","https://openalex.org/W3035303839","https://openalex.org/W3139527458","https://openalex.org/W3173258625","https://openalex.org/W3176234575","https://openalex.org/W4240249948","https://openalex.org/W4251444399","https://openalex.org/W6602647839","https://openalex.org/W6666119846","https://openalex.org/W6675306831","https://openalex.org/W6739879593"],"related_works":[],"abstract_inverted_index":{"Inverse":[0],"Tone":[1],"Mapping":[2],"(ITM)":[3],"methods":[4,43],"attempt":[5],"to":[6,34],"reconstruct":[7],"High":[8],"Dynamic":[9,15],"Range":[10,16],"(HDR)":[11],"information":[12,32,123],"from":[13,124],"Low":[14],"(LDR)":[17],"image":[18,99],"content.":[19],"The":[20,40,138],"dynamic":[21,152],"range":[22,153],"of":[23,42,60,85],"well-exposed":[24,156],"areas":[25,127,157],"must":[26,36],"be":[27,37],"expanded":[28],"and":[29,48,101,131,158,163],"any":[30],"missing":[31,122],"due":[33],"over/under-exposure":[35],"recovered":[38],"(hallucinated).":[39],"majority":[41],"focus":[44],"on":[45,55,66,90],"the":[46,56,75,83],"former":[47],"are":[49,58],"relatively":[50],"successful,":[51],"while":[52],"most":[53],"attempts":[54],"latter":[57],"not":[59],"sufficient":[61],"quality,":[62],"even":[63],"ones":[64],"based":[65,89],"Convolutional":[67],"Neural":[68],"Networks":[69,93],"(CNNs).":[70],"A":[71,166],"major":[72],"factor":[73],"for":[74,98,155,161,171,186],"reduced":[76],"inpainting":[77],"quality":[78],"in":[79,128],"some":[80],"works":[81],"is":[82,141,174],"choice":[84],"loss":[86],"function.":[87],"Work":[88],"Generative":[91],"Adversarial":[92],"(GANs)":[94],"shows":[95],"promising":[96],"results":[97],"synthesis":[100],"LDR":[102,129],"inpainting,":[103],"suggesting":[104],"that":[105,120],"GAN":[106],"losses":[107],"can":[108],"improve":[109],"inverse":[110,146],"tone":[111,147],"mapping":[112,148],"results.":[113],"This":[114],"work":[115],"presents":[116],"a":[117],"GAN-based":[118],"method":[119,140,184],"hallucinates":[121],"badly":[125],"exposed":[126],"images":[130],"compares":[132],"its":[133],"efficacy":[134],"with":[135,144],"alternative":[136],"variations.":[137],"proposed":[139],"quantitatively":[142],"competitive":[143],"state-of-the-art":[145],"methods,":[149],"providing":[150],"good":[151],"expansion":[154],"plausible":[159],"hallucinations":[160],"saturated":[162],"under-exposed":[164],"areas.":[165],"density-based":[167],"normalisation":[168],"method,":[169],"targeted":[170,185],"HDR":[172,181,187],"content,":[173],"also":[175],"proposed,":[176],"as":[177,179],"well":[178],"an":[180],"data":[182],"augmentation":[183],"hallucination.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2021-06-22T00:00:00"}