{"id":"https://openalex.org/W4312590959","doi":"https://doi.org/10.1109/access.2022.3231339","title":"DenSE SwinHDR: SDRTV to HDRTV Conversion Using Densely Connected Swin Transformer With Squeeze and Excitation Module","display_name":"DenSE SwinHDR: SDRTV to HDRTV Conversion Using Densely Connected Swin Transformer With Squeeze and Excitation Module","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312590959","doi":"https://doi.org/10.1109/access.2022.3231339"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3231339","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3231339","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2022.3231339","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078733741","display_name":"Joon-Ki Bae","orcid":"https://orcid.org/0000-0003-0214-6962"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Joon-Ki Bae","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079523378","display_name":"Subin Yang","orcid":"https://orcid.org/0000-0002-2538-1984"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Subin Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005200603","display_name":"Sung\u2010Ho Bae","orcid":"https://orcid.org/0000-0003-2677-3186"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Ho Bae","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078733741"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1006,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40506895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"10","issue":null,"first_page":"133969","last_page":"133980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing 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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing 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/T11019","display_name":"Image Enhancement Techniques","score":0.9994000196456909,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9991999864578247,"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":0.7854964733123779},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6746224164962769},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6297677159309387},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5721168518066406},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.571617841720581},{"id":"https://openalex.org/keywords/gamut","display_name":"Gamut","score":0.5229519009590149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.518163800239563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4734839200973511},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.43609195947647095},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4355505108833313},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.41352778673171997},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.36003607511520386},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.34656423330307007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17604532837867737},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1118873655796051},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11138355731964111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854964733123779},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6746224164962769},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6297677159309387},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5721168518066406},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.571617841720581},{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.5229519009590149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.518163800239563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4734839200973511},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.43609195947647095},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4355505108833313},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.41352778673171997},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.36003607511520386},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.34656423330307007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17604532837867737},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1118873655796051},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11138355731964111},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3231339","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3231339","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fc9a2d658656445b9c328a0f03adaf19","is_oa":true,"landing_page_url":"https://doaj.org/article/fc9a2d658656445b9c328a0f03adaf19","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 133969-133980 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3231339","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3231339","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2385075056","display_name":null,"funder_award_id":"RS-2022-00155911","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G6006750528","display_name":null,"funder_award_id":"2022-0-00759","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1885185971","https://openalex.org/W2020321396","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2295537950","https://openalex.org/W2326925005","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2764207251","https://openalex.org/W2766497195","https://openalex.org/W2780544323","https://openalex.org/W2784446449","https://openalex.org/W2795024892","https://openalex.org/W2799120945","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2894939846","https://openalex.org/W2895598217","https://openalex.org/W2908876763","https://openalex.org/W2954930822","https://openalex.org/W2962843773","https://openalex.org/W2963032410","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963645458","https://openalex.org/W2963729050","https://openalex.org/W2964076515","https://openalex.org/W2964101377","https://openalex.org/W2964159249","https://openalex.org/W2964277374","https://openalex.org/W2983118621","https://openalex.org/W2998556496","https://openalex.org/W3003886262","https://openalex.org/W3024380564","https://openalex.org/W3034628923","https://openalex.org/W3037597679","https://openalex.org/W3088065502","https://openalex.org/W3121214277","https://openalex.org/W3121523901","https://openalex.org/W3122099796","https://openalex.org/W3138218344","https://openalex.org/W3138516171","https://openalex.org/W3154933072","https://openalex.org/W3170874841","https://openalex.org/W3171125843","https://openalex.org/W3175544090","https://openalex.org/W3186150684","https://openalex.org/W3207918547","https://openalex.org/W4214762230","https://openalex.org/W4225871896","https://openalex.org/W4242059867","https://openalex.org/W4320013936","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6701655646","https://openalex.org/W6739901393","https://openalex.org/W6754405603","https://openalex.org/W6780198626","https://openalex.org/W6783664553","https://openalex.org/W6788135285","https://openalex.org/W6793483228","https://openalex.org/W6797790494","https://openalex.org/W6810653034","https://openalex.org/W7001386549"],"related_works":["https://openalex.org/W2152030049","https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2036724498","https://openalex.org/W3123618386","https://openalex.org/W3006819602","https://openalex.org/W2410869481","https://openalex.org/W2272915279","https://openalex.org/W3033884118","https://openalex.org/W2197132757"],"abstract_inverted_index":{"Modern":[0],"displays":[1],"have":[2],"the":[3,39,51,135,145,160,164,169,180,187,194,200,249],"capability":[4],"of":[5,38,182,241],"rendering":[6],"video":[7],"contents":[8,17,41,56],"encoded":[9,43],"with":[10,44,122,206],"high":[11],"dynamic":[12,32],"range":[13,33],"(HDR)":[14],"standards.":[15,46],"HDR":[16,49,58],"deliver":[18],"more":[19],"realistic":[20],"visual":[21,176,245],"experiences":[22],"by":[23,67],"wider":[24],"color":[25],"gamut":[26],"and":[27,85,94,110,128,151,175,223,244],"luminance":[28],"compared":[29,167,247],"to":[30,57,168,189,248],"standard":[31],"(SDR)":[34],"contents.":[35],"However,":[36],"most":[37],"available":[40],"are":[42,95,106,186,210],"SDR":[45,55],"To":[47,179,198],"provide":[48],"contents,":[50,59],"technology":[52],"converts":[53],"existing":[54,170],"what":[60],"we":[61,78,117,157,185,202],"call":[62],"SDRTV-to-HDRTV,":[63],"is":[64],"highly":[65],"demanded":[66],"providers":[68],"such":[69,217],"as":[70,218,234],"IPTV":[71],"or":[72],"broadcasting":[73],"services.":[74],"In":[75,114],"this":[76,115],"paper,":[77],"divide":[79],"SDRTV-to-HDRTV":[80,195],"conversion":[81,196],"problem":[82,137],"into":[83],"global":[84,99,126],"local":[86,112,131],"mapping":[87,100,127],"problems.":[88],"Transformers":[89],"recently":[90],"achieve":[91,268],"significant":[92],"performance":[93,166,270],"known":[96],"for":[97,108,125,130,149,193],"conducting":[98],"effectively.":[101],"Convolution":[102],"Neural":[103],"Networks":[104],"(CNN)":[105],"specialized":[107],"extracting":[109],"converting":[111],"features.":[113],"regard,":[116],"introduce":[118,227],"a":[119,123,139,228],"combined":[120,203],"model":[121],"transformer":[124],"CNN":[129],"mapping,":[132],"which":[133,209],"solves":[134],"SDRTD-to-HDRTV":[136],"in":[138,172,239],"complementary":[140],"manner.":[141],"We":[142,226],"intensively":[143],"explore":[144],"best":[146,181,269],"combination":[147],"strategy":[148],"transformers":[150],"CNNs.":[152],"Through":[153],"comprehensive":[154],"objective/subjective":[155],"experiments,":[156],"verified":[158],"that":[159],"proposed":[161,266],"method":[162,237,267],"achieves":[163],"highest":[165],"models":[171],"both":[173],"fidelity":[174],"quality":[177,246,273],"perspectives.":[178],"our":[183,265],"knowledge,":[184],"first":[188],"utilize":[190],"Vision":[191,204,230],"Transformer":[192,205,231],"problem.":[197],"boost":[199],"performance,":[201],"architectural":[207],"strategies":[208],"previously":[211],"applied":[212],"on":[213,271],"convolutional":[214],"neural":[215],"networks":[216],"residual":[219],"connection,":[220,222],"dense":[221],"squeeze-and-excitation":[224],"module.":[225],"new":[229],"architecture":[232],"denoted":[233],"DenSE-SwinHDR.":[235],"Our":[236],"outperforms":[238],"terms":[240],"objective":[242],"scores":[243],"state-of-the-art":[250],"methods.":[251],"Specifically,":[252],"DenSE-SwinHDR":[253],"achieved":[254],"0.79":[255],"dB":[256,259],"PSNR,":[257],"0.93":[258],"PU-PSNR":[260],"gain":[261],"over":[262],"HDRTVNet.":[263],"Also,":[264],"subjective":[272],"assessment.":[274]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
