{"id":"https://openalex.org/W4402915811","doi":"https://doi.org/10.1109/icip51287.2024.10647940","title":"Semantic-Region Specific Lookup Tables for Image Enhancement Via Unpaired Learning","display_name":"Semantic-Region Specific Lookup Tables for Image Enhancement Via Unpaired Learning","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402915811","doi":"https://doi.org/10.1109/icip51287.2024.10647940"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647940","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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/A5111343881","display_name":"Zheng-Hui Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Zheng-Hui Huang","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077957745","display_name":"T K Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tse-Yan Lee","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101790096","display_name":"Li\u2010Jen Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Jen Chang","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101906481","display_name":"Yongwei Chen","orcid":"https://orcid.org/0000-0002-8321-1385"},"institutions":[{"id":"https://openalex.org/I4210124818","display_name":"Asus (China)","ror":"https://ror.org/030cs0206","country_code":"CN","type":"company","lineage":["https://openalex.org/I3020783763","https://openalex.org/I4210124818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong-Wei Chen","raw_affiliation_strings":["ASUSTeK Computer Inc"],"affiliations":[{"raw_affiliation_string":"ASUSTeK Computer Inc","institution_ids":["https://openalex.org/I4210124818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111343882","display_name":"Ping-Jui Chiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124818","display_name":"Asus (China)","ror":"https://ror.org/030cs0206","country_code":"CN","type":"company","lineage":["https://openalex.org/I3020783763","https://openalex.org/I4210124818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping-Jui Chiang","raw_affiliation_strings":["ASUSTeK Computer Inc"],"affiliations":[{"raw_affiliation_string":"ASUSTeK Computer Inc","institution_ids":["https://openalex.org/I4210124818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108992282","display_name":"Jo-Fan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124818","display_name":"Asus (China)","ror":"https://ror.org/030cs0206","country_code":"CN","type":"company","lineage":["https://openalex.org/I3020783763","https://openalex.org/I4210124818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jo-Fan Wu","raw_affiliation_strings":["ASUSTeK Computer Inc"],"affiliations":[{"raw_affiliation_string":"ASUSTeK Computer Inc","institution_ids":["https://openalex.org/I4210124818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006990118","display_name":"Yung\u2010Yu Chuang","orcid":"https://orcid.org/0000-0002-1383-0017"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yung-Yu Chuang","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5111343881"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.2624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54112958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1690","last_page":"1696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8981999754905701,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8981999754905701,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.8648999929428101,"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":0.8259999752044678,"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/lookup-table","display_name":"Lookup table","score":0.7325965166091919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7242292165756226},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6040899157524109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4808945655822754},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3411900997161865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33156222105026245},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09056681394577026}],"concepts":[{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.7325965166091919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7242292165756226},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6040899157524109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4808945655822754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3411900997161865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33156222105026245},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09056681394577026}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647940","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1920280450","https://openalex.org/W2142013027","https://openalex.org/W2798844427","https://openalex.org/W2886934227","https://openalex.org/W2963073614","https://openalex.org/W3088065502","https://openalex.org/W3088478528","https://openalex.org/W3093427603","https://openalex.org/W3107259129","https://openalex.org/W3121661546","https://openalex.org/W3169865585","https://openalex.org/W3176674719","https://openalex.org/W3195085462","https://openalex.org/W3214264009","https://openalex.org/W4221161982","https://openalex.org/W4225559324","https://openalex.org/W4230472795","https://openalex.org/W4312258226","https://openalex.org/W4312579682","https://openalex.org/W4381893384","https://openalex.org/W4386075513","https://openalex.org/W4386078155","https://openalex.org/W4390872407","https://openalex.org/W4390873485","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,32,91,109],"novel":[4],"unpaired":[5,27],"learning":[6],"approach":[7,53],"to":[8,52,70,80],"enhance":[9],"images":[10],"by":[11],"employing":[12],"specific":[13],"strategies":[14],"for":[15,26],"different":[16],"semantic":[17,66],"regions.":[18],"Leveraging":[19],"the":[20,42,49,54,65],"generative":[21],"adversarial":[22],"network":[23],"(GAN)":[24],"framework":[25],"learning,":[28],"our":[29,104,120],"method":[30],"incorporates":[31],"cascaded":[33],"1D":[34,46],"and":[35,102,115],"3D":[36,59,75],"lookup":[37],"table":[38],"(LUT)":[39],"structure":[40],"as":[41],"generator.":[43],"Initially,":[44],"context-aware":[45],"LUTs":[47,60,76],"redistribute":[48],"input":[50],"image":[51],"target":[55],"globally.":[56],"Subsequently,":[57],"category-specific":[58],"are":[61,77],"merged":[62],"based":[63],"on":[64],"category":[67],"probability":[68],"assigned":[69],"each":[71],"pixel.":[72],"The":[73],"fused":[74],"then":[78],"applied":[79],"transform":[81],"individual":[82],"pixels,":[83],"producing":[84],"visually":[85],"pleasing":[86],"results.":[87],"Furthermore,":[88],"we":[89,106],"introduce":[90],"semantic-attended":[92],"multi-discriminator,":[93],"offering":[94],"more":[95],"precise":[96],"supervision":[97],"during":[98],"training.":[99],"To":[100],"train":[101],"evaluate":[103],"method,":[105],"have":[107],"curated":[108],"semantically":[110],"categorized":[111],"dataset.":[112],"User":[113],"studies":[114],"qualitative":[116],"comparisons":[117],"demonstrate":[118],"that":[119],"model":[121],"outperforms":[122],"existing":[123],"methods,":[124],"exhibiting":[125],"better":[126],"alignment":[127],"with":[128],"human":[129],"aesthetics.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
