{"id":"https://openalex.org/W4210349775","doi":"https://doi.org/10.1109/ic3d53758.2021.9687182","title":"Performance Evaluation of HDR Image Reconstruction Techniques on Light Field Images","display_name":"Performance Evaluation of HDR Image Reconstruction Techniques on Light Field Images","publication_year":2021,"publication_date":"2021-12-08","ids":{"openalex":"https://openalex.org/W4210349775","doi":"https://doi.org/10.1109/ic3d53758.2021.9687182"},"language":"en","primary_location":{"id":"doi:10.1109/ic3d53758.2021.9687182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d53758.2021.9687182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on 3D Immersion (IC3D)","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/A5073797388","display_name":"Mary Guindy","orcid":"https://orcid.org/0000-0001-9376-5413"},"institutions":[{"id":"https://openalex.org/I31882830","display_name":"P\u00e1zm\u00e1ny P\u00e9ter Catholic University","ror":"https://ror.org/05v9kya57","country_code":"HU","type":"education","lineage":["https://openalex.org/I31882830"]},{"id":"https://openalex.org/I4210135672","display_name":"Holografika (Hungary)","ror":"https://ror.org/04de2bn74","country_code":"HU","type":"company","lineage":["https://openalex.org/I4210135672"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Mary Guindy","raw_affiliation_strings":["Holografika, Budapest, Hungary","Pazmany Peter Catholic University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Holografika, Budapest, Hungary","institution_ids":["https://openalex.org/I4210135672"]},{"raw_affiliation_string":"Pazmany Peter Catholic University, Budapest, Hungary","institution_ids":["https://openalex.org/I31882830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004009826","display_name":"Adhikarla V. Kiran","orcid":null},"institutions":[{"id":"https://openalex.org/I31882830","display_name":"P\u00e1zm\u00e1ny P\u00e9ter Catholic University","ror":"https://ror.org/05v9kya57","country_code":"HU","type":"education","lineage":["https://openalex.org/I31882830"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Adhikarla V. Kiran","raw_affiliation_strings":["Pazmany Peter Catholic University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pazmany Peter Catholic University, Budapest, Hungary","institution_ids":["https://openalex.org/I31882830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032487096","display_name":"Peter A. Kara","orcid":"https://orcid.org/0000-0002-7643-5073"},"institutions":[{"id":"https://openalex.org/I205051169","display_name":"Kingston University","ror":"https://ror.org/05bbqza97","country_code":"GB","type":"education","lineage":["https://openalex.org/I205051169"]},{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["GB","HU"],"is_corresponding":false,"raw_author_name":"Peter A. Kara","raw_affiliation_strings":["Budapest University of Technology and Economics, Budapest, Hungary","Kingston University, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"Kingston University, London, UK","institution_ids":["https://openalex.org/I205051169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034576079","display_name":"Tibor Balogh","orcid":"https://orcid.org/0000-0002-5083-851X"},"institutions":[{"id":"https://openalex.org/I4210135672","display_name":"Holografika (Hungary)","ror":"https://ror.org/04de2bn74","country_code":"HU","type":"company","lineage":["https://openalex.org/I4210135672"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Tibor Balogh","raw_affiliation_strings":["Holografika, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Holografika, Budapest, Hungary","institution_ids":["https://openalex.org/I4210135672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038553061","display_name":"Anik\u00f3 Simon","orcid":"https://orcid.org/0000-0001-5114-0298"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aniko Simon","raw_affiliation_strings":["Sigma Technology, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sigma Technology, Budapest, Hungary","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4773,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7394193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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":0.9986000061035156,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7866836190223694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7817347645759583},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.7767858505249023},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7560141682624817},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7330957651138306},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6070691347122192},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.5769156217575073},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.5709367394447327},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5136765837669373},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5126344561576843},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5091518759727478},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.504073977470398},{"id":"https://openalex.org/keywords/photography","display_name":"Photography","score":0.4442652463912964},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3336164355278015},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32449793815612793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26812130212783813},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.1696658432483673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09689188003540039},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07313492894172668}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7866836190223694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7817347645759583},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.7767858505249023},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7560141682624817},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7330957651138306},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6070691347122192},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.5769156217575073},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.5709367394447327},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5136765837669373},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5126344561576843},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5091518759727478},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.504073977470398},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.4442652463912964},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3336164355278015},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32449793815612793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26812130212783813},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.1696658432483673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09689188003540039},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07313492894172668},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ic3d53758.2021.9687182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d53758.2021.9687182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on 3D Immersion (IC3D)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.kingston.ac.uk:50849","is_oa":false,"landing_page_url":"https://eprints.kingston.ac.uk/id/eprint/50849/6/Kara-P-50849-AAM.pdf","pdf_url":"https://eprints.kingston.ac.uk/id/eprint/50849/6/Kara-P-50849-AAM.pdf","source":null,"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7400000095367432,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3525297143","display_name":"Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication","funder_award_id":"813170","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335908","display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap","ror":null},{"id":"https://openalex.org/F4320336675","display_name":"National Research, Development and Innovation Office","ror":null},{"id":"https://openalex.org/F4320338388","display_name":"Eurostars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W1505723240","https://openalex.org/W2064076387","https://openalex.org/W2092409645","https://openalex.org/W2573642943","https://openalex.org/W2601564443","https://openalex.org/W2736611505","https://openalex.org/W2766497195","https://openalex.org/W2908446004","https://openalex.org/W2964076515","https://openalex.org/W2986695366","https://openalex.org/W3034628923","https://openalex.org/W3034683395","https://openalex.org/W3035574079","https://openalex.org/W3122099796","https://openalex.org/W3138218344","https://openalex.org/W3139937682","https://openalex.org/W4246212770","https://openalex.org/W6779634268"],"related_works":["https://openalex.org/W2014689642","https://openalex.org/W2884377208","https://openalex.org/W1978234925","https://openalex.org/W1965307097","https://openalex.org/W1939253538","https://openalex.org/W2737661967","https://openalex.org/W2115969764","https://openalex.org/W2410869481","https://openalex.org/W2921677027","https://openalex.org/W3023067860"],"abstract_inverted_index":{"The":[0,163],"reconstruction":[1,25,154,172],"of":[2,74,109,121,159],"high":[3],"dynamic":[4,10],"range":[5,11],"(HDR)":[6],"images":[7,13,29,67,91,105],"from":[8],"low":[9],"(LDR)":[12],"is":[14],"a":[15,110],"challenging":[16],"task.":[17],"Multiple":[18],"algorithms":[19],"are":[20,36,103,174],"implemented":[21],"to":[22,39,57,80,97,169,176],"perform":[23],"the":[24,51,59,72,98,107,122,131,157,170,179],"process":[26],"for":[27,106],"HDR":[28,124],"and":[30,45,68,95,128,137,144,152],"videos.":[31,69],"These":[32],"techniques":[33,155,173],"include,":[34],"but":[35],"not":[37,85],"limited":[38],"reverse":[40],"tone":[41],"mapping,":[42],"computational":[43],"photography":[44],"convolutional":[46],"neural":[47],"networks":[48],"(CNNs).":[49],"From":[50],"aforementioned":[52],"techniques,":[53],"CNNs":[54,79,125],"have":[55,84],"proven":[56],"be":[58],"most":[60],"efficient":[61],"when":[62],"tested":[63],"against":[64],"conventional":[65],"2D":[66],"However,":[70],"at":[71],"time":[73],"this":[75,116],"paper,":[76,117],"applying":[77],"such":[78],"light":[81,112,133,160,183],"field":[82,90,113,134,161,184],"contents":[83],"yet":[86],"been":[87],"performed.":[88],"Light":[89],"impose":[92],"more":[93],"challenges":[94],"difficulties":[96],"proposed":[99],"CNNs,":[100],"as":[101],"there":[102],"multiple":[104],"creation":[108],"single":[111],"scene.":[114],"In":[115],"we":[118],"test":[119],"some":[120],"existing":[123],"(ExpandNet,":[126],"HDR-DeepCNN":[127],"DeepHDRVideo)":[129],"on":[130],"Teddy":[132],"image":[135,151],"dataset":[136],"evaluate":[138],"their":[139],"performance":[140],"using":[141],"PSNR,":[142],"SSIM":[143],"HDR-VDP":[145],"2.2.1.":[146],"Our":[147],"work":[148],"addresses":[149],"both":[150],"video":[153],"in":[156,182],"context":[158],"imaging.":[162],"results":[164],"indicate":[165],"that":[166],"further":[167],"modifications":[168],"state-of-the-art":[171],"required":[175],"efficiently":[177],"accommodate":[178],"spatial":[180],"coherence":[181],"images.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}