{"id":"https://openalex.org/W4323824561","doi":"https://doi.org/10.1109/iceic57457.2023.10049952","title":"InvHDR: Inverse Tone Mapping With Invertible Neural Network","display_name":"InvHDR: Inverse Tone Mapping With Invertible Neural Network","publication_year":2023,"publication_date":"2023-02-05","ids":{"openalex":"https://openalex.org/W4323824561","doi":"https://doi.org/10.1109/iceic57457.2023.10049952"},"language":"en","primary_location":{"id":"doi:10.1109/iceic57457.2023.10049952","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic57457.2023.10049952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5076756860","display_name":"JoonKyu Kim","orcid":"https://orcid.org/0000-0001-6643-4010"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"JoonKyu Kim","raw_affiliation_strings":["Sogang University,Department of Electronic Engineering,Seoul,South Korea","Department of Electronic Engineering, Sogang University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Sogang University,Department of Electronic Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I148751991"]},{"raw_affiliation_string":"Department of Electronic Engineering, Sogang University, Seoul, South Korea","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084904773","display_name":"Suk\u2010Ju Kang","orcid":"https://orcid.org/0000-0002-4809-956X"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suk-Ju Kang","raw_affiliation_strings":["Sogang University,Department of Electronic Engineering,Seoul,South Korea","Department of Electronic Engineering, Sogang University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Sogang University,Department of Electronic Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I148751991"]},{"raw_affiliation_string":"Department of Electronic Engineering, Sogang University, Seoul, South Korea","institution_ids":["https://openalex.org/I148751991"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076756860"],"corresponding_institution_ids":["https://openalex.org/I148751991"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01488462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366733551025391},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.7072552442550659},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.6983794569969177},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6646633744239807},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6295292973518372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6106469035148621},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.5911498665809631},{"id":"https://openalex.org/keywords/invertible-matrix","display_name":"Invertible matrix","score":0.5608622431755066},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5590956211090088},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5456727743148804},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49735262989997864},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49496835470199585},{"id":"https://openalex.org/keywords/stack","display_name":"Stack (abstract data type)","score":0.45707470178604126},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4161505103111267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1287238597869873},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09351128339767456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366733551025391},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.7072552442550659},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.6983794569969177},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6646633744239807},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6295292973518372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6106469035148621},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.5911498665809631},{"id":"https://openalex.org/C96442724","wikidata":"https://www.wikidata.org/wiki/Q242188","display_name":"Invertible matrix","level":2,"score":0.5608622431755066},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5590956211090088},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5456727743148804},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49735262989997864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49496835470199585},{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.45707470178604126},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4161505103111267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1287238597869873},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09351128339767456},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic57457.2023.10049952","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic57457.2023.10049952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322064","display_name":"Korea Institute for Advancement of Technology","ror":"https://ror.org/015w1qa96"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1583912456","https://openalex.org/W1901129140","https://openalex.org/W2069281566","https://openalex.org/W2240434622","https://openalex.org/W2593414223","https://openalex.org/W2746556728","https://openalex.org/W2766497195","https://openalex.org/W2769930525","https://openalex.org/W2784446449","https://openalex.org/W2894939846","https://openalex.org/W2964121744","https://openalex.org/W3096831136","https://openalex.org/W4254626635","https://openalex.org/W4289761690","https://openalex.org/W4297798428","https://openalex.org/W6610566761","https://openalex.org/W6631190155","https://openalex.org/W6635084905","https://openalex.org/W6714644935","https://openalex.org/W6752910514"],"related_works":["https://openalex.org/W2014689642","https://openalex.org/W2884377208","https://openalex.org/W1978234925","https://openalex.org/W1965307097","https://openalex.org/W2943585339","https://openalex.org/W1939253538","https://openalex.org/W2115969764","https://openalex.org/W2162796060","https://openalex.org/W2008675431","https://openalex.org/W1993867686"],"abstract_inverted_index":{"In":[0,83],"general,":[1],"many":[2,61],"cameras":[3],"capture":[4],"a":[5,80,98],"relatively":[6],"small":[7],"range":[8,27,40],"of":[9,15,43,67],"luminosity":[10],"due":[11],"to":[12,79,91],"the":[13,93],"price":[14],"high-performance":[16],"camera":[17],"sensors.":[18],"We":[19],"can":[20],"compensate":[21],"this":[22,84],"by":[23,53],"creating":[24],"high":[25],"dynamic":[26,39,45,69],"(HDR)":[28],"images":[29,42],"using":[30],"multi-stack":[31],"fusion,":[32],"which":[33],"combines":[34],"information":[35],"from":[36,71],"multiple":[37,58,68,106],"low":[38],"(LDR)":[41],"various":[44],"ranges.":[46],"However,":[47],"ghost":[48],"artifact":[49],"is":[50],"inevitably":[51],"caused":[52],"moving":[54],"objects":[55],"when":[56],"acquiring":[57],"images.":[59],"Therefore,":[60],"state-of-the-art":[62],"methods":[63,95],"create":[64],"pseudo-image":[65],"stack":[66],"ranges":[70],"one":[72],"single":[73],"LDR":[74],"image":[75],"and":[76,96],"fuse":[77],"them":[78],"HDR":[81],"image.":[82],"paper,":[85],"we":[86],"use":[87],"invertible":[88],"neural":[89],"network":[90,100],"improve":[92],"existing":[94],"propose":[97],"conditional":[99],"structure":[101],"with":[102],"improved":[103],"performance":[104],"on":[105],"indicators.":[107]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
