{"id":"https://openalex.org/W3214485372","doi":"https://doi.org/10.1109/tim.2022.3152242","title":"Texture-Enhanced Light Field Super-Resolution With Spatio-Angular Decomposition Kernels","display_name":"Texture-Enhanced Light Field Super-Resolution With Spatio-Angular Decomposition Kernels","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3214485372","doi":"https://doi.org/10.1109/tim.2022.3152242","mag":"3214485372"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3152242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3152242","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5036959117","display_name":"Zexi Hu","orcid":"https://orcid.org/0000-0003-4947-4832"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zexi Hu","raw_affiliation_strings":["School of Computer Science, The University of Sydney, Camperdown, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4947-4832","affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Camperdown, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420362","display_name":"Xiaoming Chen","orcid":"https://orcid.org/0000-0002-7503-3021"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7503-3021","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089713015","display_name":"Henry Wing Fung Yeung","orcid":"https://orcid.org/0000-0002-9745-8530"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Henry Wing Fung Yeung","raw_affiliation_strings":["School of Computer Science, The University of Sydney, Camperdown, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9745-8530","affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Camperdown, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045843249","display_name":"Yuk Ying Chung","orcid":"https://orcid.org/0000-0002-3158-9650"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuk Ying Chung","raw_affiliation_strings":["School of Computer Science, The University of Sydney, Camperdown, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3158-9650","affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Camperdown, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079572598","display_name":"Zhibo Chen","orcid":"https://orcid.org/0000-0002-8525-5066"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibo Chen","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-8525-5066","affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2337,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88933239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.55214923620224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5495877265930176},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5332536101341248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5301312804222107},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4893049895763397},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.4546639323234558},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.45099401473999023},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4331654906272888},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.42636242508888245},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.4248954653739929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40314042568206787},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.37585949897766113},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.3405177593231201},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33048367500305176},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3133883774280548},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23110324144363403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20577958226203918},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1545780599117279}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.55214923620224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5495877265930176},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5332536101341248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5301312804222107},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4893049895763397},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.4546639323234558},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.45099401473999023},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4331654906272888},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.42636242508888245},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.4248954653739929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40314042568206787},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.37585949897766113},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.3405177593231201},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33048367500305176},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3133883774280548},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23110324144363403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20577958226203918},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1545780599117279},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3152242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3152242","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6955195448","display_name":null,"funder_award_id":"4222003","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7885347620","display_name":null,"funder_award_id":"62177001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8360980874","display_name":null,"funder_award_id":"19008021181","funder_id":"https://openalex.org/F4320323378","funder_display_name":"Beijing Technology and Business University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320323378","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1534973349","https://openalex.org/W1665214252","https://openalex.org/W2032831684","https://openalex.org/W2042687553","https://openalex.org/W2073942619","https://openalex.org/W2104147251","https://openalex.org/W2116361875","https://openalex.org/W2167514808","https://openalex.org/W2194775991","https://openalex.org/W2200825767","https://openalex.org/W2242218935","https://openalex.org/W2320359495","https://openalex.org/W2331128040","https://openalex.org/W2344138609","https://openalex.org/W2397402366","https://openalex.org/W2476548250","https://openalex.org/W2513285095","https://openalex.org/W2514199088","https://openalex.org/W2516928329","https://openalex.org/W2525683018","https://openalex.org/W2526321439","https://openalex.org/W2531327760","https://openalex.org/W2531409750","https://openalex.org/W2551052086","https://openalex.org/W2557227117","https://openalex.org/W2560474170","https://openalex.org/W2572840108","https://openalex.org/W2588196171","https://openalex.org/W2732597826","https://openalex.org/W2744570394","https://openalex.org/W2751965900","https://openalex.org/W2753630964","https://openalex.org/W2778641202","https://openalex.org/W2780544323","https://openalex.org/W2783516823","https://openalex.org/W2807342049","https://openalex.org/W2866634454","https://openalex.org/W2884462366","https://openalex.org/W2893637971","https://openalex.org/W2895240252","https://openalex.org/W2895527865","https://openalex.org/W2898677683","https://openalex.org/W2903622424","https://openalex.org/W2947690922","https://openalex.org/W2954930822","https://openalex.org/W2962835968","https://openalex.org/W2963037581","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963610452","https://openalex.org/W2964101377","https://openalex.org/W2964121744","https://openalex.org/W2964178790","https://openalex.org/W2965538618","https://openalex.org/W2979618460","https://openalex.org/W2998657805","https://openalex.org/W3008297311","https://openalex.org/W3010250471","https://openalex.org/W3021737479","https://openalex.org/W3035271082","https://openalex.org/W3035487542","https://openalex.org/W3098172517","https://openalex.org/W3100465609","https://openalex.org/W3110151525","https://openalex.org/W3128854684","https://openalex.org/W3154093662","https://openalex.org/W3185226086","https://openalex.org/W6631190155","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2166724105","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2003873690","https://openalex.org/W2165772202","https://openalex.org/W2115502907","https://openalex.org/W2035842265","https://openalex.org/W2359713774","https://openalex.org/W2154859065","https://openalex.org/W2743128629"],"abstract_inverted_index":{"Despite":[0],"the":[1,14,29,44,60,72,75,111,129,184,197,230,235],"recent":[2],"progress":[3],"in":[4,105,175],"light":[5,190],"field":[6,191],"super-resolution":[7],"(LFSR)":[8],"achieved":[9],"by":[10,220,234],"convolutional":[11],"neural":[12],"networks,":[13],"correlation":[15],"information":[16],"of":[17,31,43,74,84,113,121,132,138,223],"LF":[18,33,40,85,114,208,224],"images":[19],"has":[20],"not":[21],"been":[22],"sufficiently":[23,91],"studied":[24],"and":[25,55,78,95,116,206],"exploited":[26],"due":[27],"to":[28,49,90,97,163,195,201,227],"complexity":[30],"4-D":[32],"data.":[34],"To":[35,101,171],"cope":[36],"with":[37,168],"such":[38,139],"high-dimensional":[39],"data,":[41],"most":[42],"existing":[45],"LFSR":[46,180],"methods":[47,65],"resorted":[48],"decomposing":[50],"it":[51],"into":[52,135,145],"lower":[53],"dimensions":[54],"subsequently":[56],"performing":[57],"optimization":[58],"on":[59,183],"decomposed":[61],"subspaces.":[62],"However,":[63],"these":[64,103],"are":[66,143],"inherently":[67],"limited":[68,82],"as":[69],"they":[70],"neglected":[71],"characteristics":[73],"decomposition":[76,115,122,130,140,148],"operations":[77,131],"only":[79],"utilized":[80],"a":[81,98,118,136,189],"set":[83],"subspaces":[86,134],"ending":[87],"up":[88],"failing":[89],"extract":[92],"spatio-angular":[93,154],"features":[94],"leading":[96],"performance":[99],"bottleneck.":[100],"overcome":[102],"limitations,":[104],"this":[106],"article,":[107],"we":[108,126,187],"comprehensively":[109],"discover":[110],"potentials":[112],"propose":[117,188,215],"novel":[119],"concept":[120],"kernels.":[123],"In":[124],"particular,":[125],"systematically":[127],"unify":[128],"various":[133],"series":[137],"kernels,":[141],"which":[142],"incorporated":[144],"our":[146],"proposed":[147,158],"kernel":[149],"network":[150],"(DKNet)":[151],"for":[152],"comprehensive":[153],"feature":[155],"extraction.":[156],"The":[157],"DKNet":[159,174,199],"is":[160],"experimentally":[161],"verified":[162],"achieve":[164],"considerable":[165],"improvements":[166],"compared":[167],"state-of-the-art":[169],"methods.":[170],"further":[172],"improve":[173],"producing":[176],"more":[177],"visually":[178],"pleasing":[179],"results,":[181],"based":[182],"VGG":[185,192],"network,":[186],"(LFVGG)":[193],"loss":[194],"guide":[196],"texture-enhanced":[198],"(TE-DKNet)":[200],"generate":[202],"rich":[203],"authentic":[204],"textures":[205],"enhance":[207],"images\u2019":[209],"visual":[210],"quality":[211],"significantly.":[212],"We":[213],"also":[214],"an":[216],"indirect":[217],"evaluation":[218],"metric":[219],"taking":[221],"advantage":[222],"material":[225],"recognition":[226],"objectively":[228],"assess":[229],"perceptual":[231],"enhancement":[232],"brought":[233],"LFVGG":[236],"loss.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
